Browsing Meeting minutes, announcements and publications from RIT Colleges by Author "Saber, Eli"
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Automatic image annotation using adaptive color classification
Saber, Eli; Tekalp, M.; Eschbach, R.; Knox, K. (Elsevier Academic press, 1996-03)We describe a system which automatically annotates images with a set of prespecified keywords, based on supervised color classification of pixels into N prespecified classes using simple pixelwise operations. The conditional ... -
Dynamic learning from multiple examples for semantic object segmentation and search
Xu, Y; Saber, Eli; Tekalp, A. (Elsevier Science, 2004)We present a novel ‘‘dynamic learning’’ approach for an intelligent image database system to automatically improve object segmentation and labeling without user intervention, as new examples become available, for ... -
Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions
Saber, Eli; Tekalp, A. Murat (Elsveier - Pattern Recognition Letters, 1998)We describe an algorithm for detecting human faces and facial features, such as the location of the eyes, nose and mouth. First, a supervised pixel-based color classifier is employed to mark all pixels that are within a ... -
Fusion of color and edge information for improved segmentation and edge linking
Saber, Eli; Tekalp, A. Murat; Bozdagi, Gozde (Image and vision computing, Elsevier, 1997-10)We propose a new method for combined color image segmentation and edge linking. The image is first segmented based on color information only. The segmentation map is modeled by a Gibbs random field, to ensure formation of ... -
Integration of color, edge, shape, and texture features for automatic region-based image annotation and retrieval
Saber, Eli; Tekalp, A. Murat (SPIE, 1998-07)We present algorithms for automatic image annotation and retrieval based on color, shape, texture, and any combination of two or more of these features. Pixel- or region (object)-based color; region-based shape; and block- ... -
Object-based image labeling through learning by example and multi-level segmentation
Xu, Y.; Duygulu, P.; Saber, Eli; Tekalp, A.; Yarman-Vural, F. (Elsevier Science, 2003-06)We propose a system that employs low-level image segmentation followed by color and two-dimensional (2-D) shape matching to automatically group those low-level segments into objects based on their similarity to a set ... -
Partial shape recognition by sub-matrix matching for partial matching guided image labeling
Saber, Eli; Xu, Yaowu; Tekalp, A. Murat (Elsevier, 2005-10)We propose a new partial shape recognition algorithm by sub-matrix matching using a proximity-based shape representation. Given one or more example object templates and a number of candidate object regions in an image, ... -
Prostate boundary detection and volume estimation using TRUS images for brachytherapy applications
Misic, Vladimir; Sampath, Varsha; Yu, Yan; Saber, Eli (International Journal of Computer Assisted Radiology and Surgery, 2007-08)Objective: Authors propose a semi-automatic segmentation algorithm for three-dimensional prostate boundary detection from trans-rectal ultrasound images. As a part of brachytherapy treatment with seeds for early stage ... -
Region-based shape matching for automatic image annotation and query-by-example
Saber, Eli; Tekalp, Murat (Journal of visual communication and image representation, Elsevier, 1997-03)We present a method for automatic image annotation and retrieval based on query-by-example by region-based shape matching. The proposed method consists of two parts: region selection and shape matching. In the first part, ... -
Streak detection in mottled and noisy images
Rosario, Hector; Saber, Eli; Wu, Wencheng; Chandu, Kartheek (SPIE, 2007-12-06)We describe a method for automatically detecting streaks in printed images using adaptive window-based image projections and mutual information. The proposed approach accepts a scanned image enclosing the defect and ...