View All Items

Title: Computer vision techniques for quantifying, tracking, and identifying bioluminescent plankton.
Creator: Kocak, D. M., da Vitoria Lobo, N., Widder, Edith A., Harbor Branch Oceanographic Institute
Date Issued: 1999
PURL: http://purl.flvc.org/FCLA/DT/3183711
Subject Headings: Underwater imaging systems, Computer vision
Format: Document (PDF)

Title: An introduction to analysis of errors inherent in multispectral imaging through the sea surface. 2. Sensor and interfacial effects.
Creator: Schmalz, Mark S., Caimi, F. M., Harbor Branch Oceanographic Institute
Date Issued: 1996
PURL: http://purl.flvc.org/FCLA/DT/3340782
Subject Headings: Multispectral photography, Optics, Imaging systems
Format: Document (PDF)

Title: An introduction to analysis of errors inherent in multispectral imaging through the sea surface. 1. Target and media effects.
Creator: Schmalz, Mark S., Caimi, F. M., Harbor Branch Oceanographic Institute
Date Issued: 1996
PURL: http://purl.flvc.org/FCLA/DT/3340780
Subject Headings: Multispectral photography, Imaging systems, Optics
Format: Document (PDF)

Title: Data compression techniques for underwater imagery.
Creator: Schmalz, Mark S., Ritter, G. X., Caimi, F. M., Harbor Branch Oceanographic Institute
Date Issued: 1996
PURL: http://purl.flvc.org/fau/fd/FA00007349
Subject Headings: Underwater imaging systems, Data Compression
Format: Document (PDF)

Title: The manned submersible as an effective sampling and imaging platform.
Creator: Liberatore, D., Askew, T. M., Tusting, Robert F., Harbor Branch Oceanographic Institute
Date Issued: 1997
PURL: http://purl.flvc.org/FCLA/DT/3183699
Subject Headings: Submersibles, Underwater imaging systems, Sampling
Format: Document (PDF)

Title: Propagation medium impact on sonar coherent processing for high frequency synthetic aperture imaging.
Creator: Ciany, C. M., Walsh, G. M., Clark, A. M., Harbor Branch Oceanographic Institute
Date Issued: 1994
PURL: http://purl.flvc.org/FCLA/DT/3183684
Subject Headings: Synthetic apertures, Underwater imaging systems
Format: Document (PDF)

Title: Using color image processing techniques to improve the performance of content-based image retrieval systems.
Creator: Costa, Fabio Morais., Florida Atlantic University, Furht, Borko
Abstract/Description: A Content-Based Image Retrieval (CBIR) system is a mechanism intended to retrieve a particular image from a large image repository without resorting to any additional information about the image. Query-by-example (QBE) is a technique used by CBIR systems where an image is retrieved from the database based on an example given by the user. The effectiveness of a CBIR system can be measured by two main indicators: how close the retrieved results are to the desired image and how fast we got those...
Show moreA Content-Based Image Retrieval (CBIR) system is a mechanism intended to retrieve a particular image from a large image repository without resorting to any additional information about the image. Query-by-example (QBE) is a technique used by CBIR systems where an image is retrieved from the database based on an example given by the user. The effectiveness of a CBIR system can be measured by two main indicators: how close the retrieved results are to the desired image and how fast we got those results. In this thesis, we implement some classical image processing operations in order to improve the average rank of the desired image, and we also implement two object recognition techniques to improve the subjective quality of the best ranked images. Results of experiments show that the proposed system outperforms an equivalent CBIR system in QBE mode, both from the point of view of precision as well as recall.
Show less
Date Issued: 2001
PURL: http://purl.flvc.org/fcla/dt/12870
Subject Headings: Image processing--Digital techniques, Imaging systems--Image quality, Information storage and retrieval systems
Format: Document (PDF)

Title: Experimental imaging performance evaluation for alternate configurations of undersea pulsed laser serial imagers.
Creator: Dalgleish, Fraser R., Vuorenkoski, Anni K., Nootz, G., Ouyang, Bing, Caimi, F. M.
Date Issued: 2011
PURL: http://purl.flvc.org/FCLA/DT/3340796
Subject Headings: Electrooptics, Underwater imaging systems, Image Quality, Scattering (Physics), Lasers
Format: Document (PDF)

Title: Underwater laser serial imaging using compressive sensing and digital mirror device.
Creator: Ouyang, Bing, Dalgleish, Fraser R., Caimi, F. M., Giddings, T. E., Shirron, J. J., Vuorenkoski, Anni K., Nootz, G., Britton, W. B., Ramos, Brian
Date Issued: 2011
PURL: http://purl.flvc.org/FCLA/DT/3340793
Subject Headings: Underwater imaging systems, Image compression, Lasers, Signal processing
Format: Document (PDF)

Title: Laser systems and structured illumination for quantitative undersea imaging.
Creator: Tusting, Robert F., Davis, D. L., Harbor Branch Oceanographic Institute
Date Issued: 1992
PURL: http://purl.flvc.org/FCLA/DT/3338509
Subject Headings: Underwater imaging systems, Lasers, Photogrammetry, Underwater photography
Format: Document (PDF)

Title: Mixed light imaging system for recording bioluminescence behaviours.
Creator: Widder, Edith A., Harbor Branch Oceanographic Institute
Date Issued: 1992
PURL: http://purl.flvc.org/fau/fd/FA00007217
Subject Headings: Bioluminescence, Underwater imaging systems, Video recordings, Copepoda
Format: Document (PDF)

Title: Pulse versus CW laser line scan imaging detection methods: simulation results.
Creator: Caimi, F. M., Dalgleish, Fraser R., Giddings, T. E., Shirron, J. J., Mazel, C. H., Chiang, K.
Date Issued: 2007
PURL: http://purl.flvc.org/FCLA/DT/1927694
Subject Headings: Underwater imaging systems, Laser beams --Scattering
Format: Document (PDF)

Title: Fourier telescopy test system.
Creator: Randunu-Pathirannehelage, Nishantha, Torres Moreno, Yezid, Rhodes, William T., Graduate College
Date Issued: 2013-04-12
PURL: http://purl.flvc.org/fcla/dt/3361948
Subject Headings: Fourier transform optics, Imaging systems, Remote sensing
Format: Document (PDF)

Title: Image retrieval using visual attention.
Creator: Mayron, Liam M., College of Engineering and Computer Science, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The retrieval of digital images is hindered by the semantic gap. The semantic gap is the disparity between a user's high-level interpretation of an image and the information that can be extracted from an image's physical properties. Content based image retrieval systems are particularly vulnerable to the semantic gap due to their reliance on low-level visual features for describing image content. The semantic gap can be narrowed by including high-level, user-generated information. High-level...
Show moreThe retrieval of digital images is hindered by the semantic gap. The semantic gap is the disparity between a user's high-level interpretation of an image and the information that can be extracted from an image's physical properties. Content based image retrieval systems are particularly vulnerable to the semantic gap due to their reliance on low-level visual features for describing image content. The semantic gap can be narrowed by including high-level, user-generated information. High-level descriptions of images are more capable of capturing the semantic meaning of image content, but it is not always practical to collect this information. Thus, both content-based and human-generated information is considered in this work. A content-based method of retrieving images using a computational model of visual attention was proposed, implemented, and evaluated. This work is based on a study of contemporary research in the field of vision science, particularly computational models of bottom-up visual attention. The use of computational models of visual attention to detect salient by design regions of interest in images is investigated. The method is then refined to detect objects of interest in broad image databases that are not necessarily salient by design. An interface for image retrieval, organization, and annotation that is compatible with the attention-based retrieval method has also been implemented. It incorporates the ability to simultaneously execute querying by image content, keyword, and collaborative filtering. The user is central to the design and evaluation of the system. A game was developed to evaluate the entire system, which includes the user, the user interface, and retrieval methods.
Show less
Date Issued: 2008
PURL: http://purl.flvc.org/fcla/flaent/EN00154040/68_1/98p0137i.pdf, http://purl.flvc.org/FAU/58006
Subject Headings: Image processing, Digital techniques, Database systems, Cluster analysis, Multimedia systems
Format: Document (PDF)

Title: Improving In Vivo Two Photon Microscopy Without Adaptive Optics.
Creator: Estrada, Gerardo, Beetle, Christopher, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Physics
Abstract/Description: Two photon microscopy is one of the fastest growing methods of in-vivo imaging of the brain. It has the capability of imaging structures on the scale of 1μm. At this scale the wavelength of the imaging field (usually near infra-red), is comparable to the size of the structures being imaged, which makes the use of ray optics invalid. A better understanding is needed to predict the result of introducing different media into the light path. We use Wolf's integral, which is capable of fulfilling...
Show moreTwo photon microscopy is one of the fastest growing methods of in-vivo imaging of the brain. It has the capability of imaging structures on the scale of 1μm. At this scale the wavelength of the imaging field (usually near infra-red), is comparable to the size of the structures being imaged, which makes the use of ray optics invalid. A better understanding is needed to predict the result of introducing different media into the light path. We use Wolf's integral, which is capable of fulfilling these needs without the shortcomings of ray optics. We predict the effects of aberrating media introduced into the light path like glass cover-slips and then correct the aberration using the same method. We also create a method to predict aberrations when the interfaces of the media in the light-path are not aligned with the propagation direction of the wavefront.
Show less
Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004495
Subject Headings: Cellular signal transmission -- Measurement, Image analysis, Imaging systems in medicine, Membranes (Biology) -- Imaging, Neurons -- Imaging, Optics, Adaptive
Format: Document (PDF)

Title: Object detection in low resolution video sequences.
Creator: Pava, Diego F., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: With augmenting security concerns and decreasing costs of surveillance and computing equipment, research on automated systems for object detection has been increasing, but the majority of the studies focus their attention on sequences where high resolution objects are present. The main objective of this work is the detection and extraction of information of low resolution objects (e.g. objects that are so far away from the camera that they occupy only tens of pixels) in order to provide a...
Show moreWith augmenting security concerns and decreasing costs of surveillance and computing equipment, research on automated systems for object detection has been increasing, but the majority of the studies focus their attention on sequences where high resolution objects are present. The main objective of this work is the detection and extraction of information of low resolution objects (e.g. objects that are so far away from the camera that they occupy only tens of pixels) in order to provide a base for higher level information operations such as classification and behavioral analysis. The system proposed is composed of four stages (preprocessing, background modeling, information extraction, and post processing) and uses context based region of importance selection, histogram equalization, background subtraction and morphological filtering techniques. The result is a system capable of detecting and tracking low resolution objects in a controlled background scene which can be a base for systems with higher complexity.
Show less
Date Issued: 2009
PURL: http://purl.flvc.org/FAU/186685
Subject Headings: Computer systems, Security measures, Remote sensing, Image processing, Digital techniques, Imaging systems, Mathematical models
Format: Document (PDF)

Title: Structure and motion estimation from image sequences.
Creator: Shieh, Jen-yu., Florida Atlantic University, Zhuang, Hanqi, Sudhakar, Raghavan, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The objective of this dissertation is to develop effective algorithms for estimating the 3-D structure of a scene and its relative motion with respect to a camera or a pair of cameras from a sequence of images acquired by the cameras, under the assumption that the relative motion of the camera is small from one frame to another. This dissertation presents an approach of computing depth maps from an image sequence, which combines the direct depth estimation method with the optical flow based...
Show moreThe objective of this dissertation is to develop effective algorithms for estimating the 3-D structure of a scene and its relative motion with respect to a camera or a pair of cameras from a sequence of images acquired by the cameras, under the assumption that the relative motion of the camera is small from one frame to another. This dissertation presents an approach of computing depth maps from an image sequence, which combines the direct depth estimation method with the optical flow based method. More specifically, optical flow on and near moving edges are computed using a correlation technique. The optical flow information is then fused with the gradient information to estimate depth not only on moving edges but also in internal regions. Depth estimation is formulated as a discrete Kalman filter problem and is solved in three stages. In the prediction stage, the depth map estimated for the previous frame, together with knowledge of the camera motion, is used to predict the depth variance at each pixel in the current frame. In the estimation stage, a vector-version of Kalman filter formulation is adapted and simplified to refine the predicted depth map. The resulting estimation algorithm takes into account the information from the neighboring pixels, and thus is much more robust than the scalar-version Kalman filter implementation. In the smoothing stage, morphological filtering is applied to reduce the effect of measurement noise and fill in uncertain areas based on the error covariance information. Since the depth at each pixel is estimated locally, the algorithm presented in this paper can be implemented on a parallel computer. The performance of the presented method is assessed through simulation and experimental studies. A new approach for motion estimation from stereo image sequences is also proposed in this dissertation. First a stereo motion estimation model is derived using the direct dynamic motion estimation technique. The problem is then solved by applying a discrete Kalman filter that facilitates the use of a long stereo image sequence. Typically, major issues in such an estimation method are stereo matching, temporal matching, and noise sensitivity. In the proposed approach, owing to the use of temporal derivatives in the motion estimation model, temporal matching is not needed. The effort for stereo matching is kept to a minimum with a parallel binocular configuration. Noise smoothing is achieved by the use of a sufficiently large number of measurement points and a long sequence of stereo images. Both simulation and experimental studies have also been conducted to assess the effectiveness of the proposed approach.
Show less
Date Issued: 1992
PURL: http://purl.flvc.org/fcla/dt/12320
Subject Headings: Three-dimensional display systems, Imaging systems, Photography, Stereoscopic, Imaging transmission
Format: Document (PDF)

Title: Event detection in surveillance video.
Creator: Castellanos Jimenez, Ricardo Augusto., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Digital video is being used widely in a variety of applications such as entertainment, surveillance and security. Large amount of video in surveillance and security requires systems capable to processing video to automatically detect and recognize events to alleviate the load on humans and enable preventive actions when events are detected. The main objective of this work is the analysis of computer vision techniques and algorithms used to perform automatic detection of events in video...
Show moreDigital video is being used widely in a variety of applications such as entertainment, surveillance and security. Large amount of video in surveillance and security requires systems capable to processing video to automatically detect and recognize events to alleviate the load on humans and enable preventive actions when events are detected. The main objective of this work is the analysis of computer vision techniques and algorithms used to perform automatic detection of events in video sequences. This thesis presents a surveillance system based on optical flow and background subtraction concepts to detect events based on a motion analysis, using an event probability zone definition. Advantages, limitations, capabilities and possible solution alternatives are also discussed. The result is a system capable of detecting events of objects moving in opposing direction to a predefined condition or running in the scene, with precision greater than 50% and recall greater than 80%.
Show less
Date Issued: 2010
PURL: http://purl.flvc.org/FAU/1870694
Subject Headings: Computer systems, Security measures, Image processing, Digital techniques, Imaging systems, Mathematical models, Pattern recognition systems, Computer vision, Digital video
Format: Document (PDF)

Title: Developments in laser-line scanned undersea surface mapping and image analysis systems for scientific applications.
Creator: Caimi, F. M., Kocak, D. M., Asper, V. L., Harbor Branch Oceanographic Institute
Date Issued: 1996
PURL: http://purl.flvc.org/FCLA/DT/3183695
Subject Headings: Underwater imaging systems, Image analysis, Topographical surveying--Laser use in
Format: Document (PDF)

Title: Perceptual methods for video coding.
Creator: Adzic, Velibor, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The main goal of video coding algorithms is to achieve high compression efficiency while maintaining quality of the compressed signal at the highest level. Human visual system is the ultimate receiver of compressed signal and final judge of its quality. This dissertation presents work towards optimal video compression algorithm that is based on the characteristics of our visual system. Modeling phenomena such as backward temporal masking and motion masking we developed algorithms that are...
Show moreThe main goal of video coding algorithms is to achieve high compression efficiency while maintaining quality of the compressed signal at the highest level. Human visual system is the ultimate receiver of compressed signal and final judge of its quality. This dissertation presents work towards optimal video compression algorithm that is based on the characteristics of our visual system. Modeling phenomena such as backward temporal masking and motion masking we developed algorithms that are implemented in the state-of- the-art video encoders. Result of using our algorithms is visually lossless compression with improved efficiency, as verified by standard subjective quality and psychophysical tests. Savings in bitrate compared to the High Efficiency Video Coding / H.265 reference implementation are up to 45%.
Show less
Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004074, http://purl.flvc.org/fau/fd/FA00004074
Subject Headings: Algorithms, Coding theory, Digital coding -- Data processing, Imaging systems -- Image quality, Perception, Video processing -- Data processing
Format: Document (PDF)

HBOI Faculty Contributions (38)	+ -
FAU Theses and Dissertations (36)	+ -
FAU College Collections (1)	+ -
FAU Graduate Student Research (1)	+ -

Underwater imaging systems (34)	+ -
Imaging systems (11)	+ -
Lasers (10)	+ -
Image processing (9)	+ -
Pattern recognition systems (8)	+ -

Image processing--Digital techniques (6)	+ -
Digital techniques (5)	+ -
Imaging systems in medicine (5)	+ -
Computer vision (4)	+ -
Image Quality (4)	+ -
Image compression (4)	+ -
Medical physics (4)	+ -
Biometric identification (3)	+ -
Image analysis (3)	+ -
Mathematical models (3)	+ -
Multimedia systems (3)	+ -
Photogrammetry (3)	+ -
Remote sensing (3)	+ -
Security measures (3)	+ -
Artificial intelligence (2)	+ -
Artificial intelligence -- Medical applications (2)	+ -
Bioluminescence (2)	+ -
Coding theory (2)	+ -
Computer systems (2)	+ -
Computer vision. (2)	+ -
Data encryption (Computer science) (2)	+ -
Digital coding -- Data processing (2)	+ -
Electrooptics (2)	+ -
Geographic information systems (2)	+ -
Human face recognition (Computer science) (2)	+ -

article (39)	+ -
Electronic Thesis or Dissertation (36)	+ -
abstract (1)	+ -

Caimi, F. M. (29)	+ -
Florida Atlantic University (27)	+ -
College of Engineering and Computer Science (24)	+ -
Harbor Branch Oceanographic Institute (24)	+ -
Department of Computer and Electrical Engineering and Computer Science (22)	+ -

Search In

Pages

Pages

Sort Results By:

Narrow results by:

Collection

Topical Subject

Genre

Type of Resource

Language

Creator

Format

Owner