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1 October 1998 Algorithm for finding parameter-dependent connected components of gray-scale images
Yang Wang, Prabir Bhattacharya
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Proceedings Volume 3460, Applications of Digital Image Processing XXI; (1998) https://doi.org/10.1117/12.323166
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States
Abstract
In a previous work we have introduced the concept of a parameter-dependent connected component of gray-scale images that takes into account both the gray values of the pixels and the differences of the gray values of the neighboring pixels. This concept is a convenient tool to analyze or understand images at a higher level than the pixel level. In this paper, we describe an algorithm for finding the parameter-dependent components for a given image. We discuss different strategies used in the algorithm and analyze their effects through the experimental results. Since the proposed algorithm is independent of the formation of the images, it can be used for the analyzed of many types of images. The experimental results show that for some appropriate values of the parameters, the objects of an image may be represented by its parameter-dependent components reasonably well. Thus, the proposed algorithm provides us with the possibility of analyzing images further at the component level.
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Yang Wang and Prabir Bhattacharya "Algorithm for finding parameter-dependent connected components of gray-scale images", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); https://doi.org/10.1117/12.323166
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KEYWORDS
Image analysis
Algorithm development
Image processing
Image processing algorithms and systems
Image segmentation
Computer science
Data modeling
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