Journal
JOURNAL OF MATHEMATICAL IMAGING AND VISION
Volume 13, Issue 1, Pages 35-56Publisher
KLUWER ACADEMIC PUBL
DOI: 10.1023/A:1008325607354
Keywords
edge detection; image segmentation; Jensen-Shannon divergence
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This work constitutes a theoretical study of the edge-detection method by means of the Jensen-Shannon divergence, as proposed by the authors, The overall aim is to establish formally the suitability of the procedure of edge detection in digital images, as a step prior to segmentation. In specific, an analysis is made not only of the properties of the divergence used, but also of the method's sensitivity to the spatial variation, as well as the detection-error risk associated with the operating conditions due to the randomness of the spatial configuration of the pixels. Although the paper deals with the procedure based on the Jensen-Shannon divergence, some problems are also related to other methods based on local detection with a sliding window, and part of the study is focused to noisy and textured images.
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