Results 231 to 240 of about 556,109 (269)
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Segmentation and segment connection of obstructed colon
SPIE Proceedings, 2004Segmentation of colon CT images is the main factor that inhibits automation of virtual colonoscopy. There are two main reasons that make efficient colon segmentation difficult. First, besides the colon, the small bowel, lungs, and stomach are also gas-filled organs in the abdomen. Second, peristalsis or residual feces often obstruct the colon, so that
Mario Medved +3 more
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Intonation segments and segmental intonation
Interspeech 2009, 2009An acoustic analysis of a German dialogue corpus showed that the sound qualities and durations of fricatives, vocoids, and diphthongs at the ends of question and statement utterances varied systematically with the utterance-final intonation segments, which were high-rising in the questions and terminal-falling in the statements.
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Segmental Modeling for Audio Segmentation
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007Trainable speech/non-speech segmentation and music detection algorithms usually consist of a frame based scoring phase combined with a smoothing phase. This paper suggests a framework in which both phases are explicitly unified in a segment based classifier.
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Semantic Segmentation without Annotating Segments
2013 IEEE International Conference on Computer Vision, 2013Numerous existing object segmentation frameworks commonly utilize the object bounding box as a prior. In this paper, we address semantic segmentation assuming that object bounding boxes are provided by object detectors, but no training data with annotated segments are available.
Wei Xia +4 more
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Line Segment Based Watershed Segmentation
2007In this paper we present an overview of our novel line segment based watershed segmentation algorithm. Most of the existing watershed algorithms use the region label image as the main data structure for its ease of use. These type of watershed algorithms have a relatively large memory footprint and need unbounded memory access.
Johan de Bock, Wilfried Philips
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Segmental Anatomy as Applied to Segmental Resection
Diseases of the Chest, 1958SUMMARY True segmental resection is not a simple matter and there is need to redefine accurately the term. Knowledge and employment of anatomy are necessary to avoid devitalization of some segments and unnecessary removal of other segments. The segmental anatomical hazards must be understood to perform accurate segmental resections.
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2004
We describe a new approach for learning to perform class-based segmentation using only unsegmented training examples. As in previous methods, we first use training images to extract fragments that contain common object parts. We then show how these parts can be segmented into their figure and ground regions in an automatic learning process.
Eran Borenstein, Shimon Ullman
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We describe a new approach for learning to perform class-based segmentation using only unsegmented training examples. As in previous methods, we first use training images to extract fragments that contain common object parts. We then show how these parts can be segmented into their figure and ground regions in an automatic learning process.
Eran Borenstein, Shimon Ullman
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Foreground Segmentation via Segments Tracking
2009In this paper we propose a video segmentation algorithm that in the final delineation of the object employs the graph-cut. A partitioning of the image based on pairwise region comparison is done at the beginning of each frame. A set of keypoints is tracked over time via optical flow to extract regions, which are likely to be parts of the object of ...
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1998
The segmentation of medical images like CT or MRI scans represents a great challenge to researchers in computer vision, due to the variability of the individual anatomy and the different characteristics of the scanning systems. As an anatomical knowledge base improves the recognition of structures in CT or MRI scans, we chose a knowledge based ...
C R, Burghart, A, Pernozzoli, U, Rembold
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The segmentation of medical images like CT or MRI scans represents a great challenge to researchers in computer vision, due to the variability of the individual anatomy and the different characteristics of the scanning systems. As an anatomical knowledge base improves the recognition of structures in CT or MRI scans, we chose a knowledge based ...
C R, Burghart, A, Pernozzoli, U, Rembold
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Proceedings of the May 1-3, 1962, spring joint computer conference on - AIEE-IRE '62 (Spring), 1962
The FACT Compiler is Honeywell's English language narrative compiler used for commercial data processing applications. The program segments created by FACT have their position in memory dynamically relocated in order to make the most efficient use of the available core storage.
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The FACT Compiler is Honeywell's English language narrative compiler used for commercial data processing applications. The program segments created by FACT have their position in memory dynamically relocated in order to make the most efficient use of the available core storage.
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