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Watershed transformation frequently produces over-segmented images. The authorspropose a solution to this problem. It utilizes hierarchical cluster analysis for grouping watershedswhich are treated as objects characterized by a number of attributes. Initially the watershed mergingmethod was meant only for gray-scale images, but later it was adapted for colour images. This paperpresents further extension...
The perceptual measures are often used to assess distortions in image compression. In this article different images were evaluated using the Picture Quality Scale (PQS) measure with neural network. On the basis of original and compressed images the local distortions in the compressed image are calculated. Then five factors {F1, F2, F3, F4, F5}, which represent these distortions are computed, and used...
Watershed transformation can be applied to color as well as to gray-scale images. A problem arises when dealing with color images. It is caused by the fact that pixels in such images are vectors that describe all color components whereas the watershed transformation requires a scalar height function as its input. There are multiple gradient magnitude definitions for color images that allow for the...
Watershed transformation can be applied to color as well as to gray-scale images. A problem arises when dealing with color images. It is caused by the fact that pixels in such images are vectors that describe all color components whereas the watershed transformation requires a scalar height function as its input. There are multiple gradient magnitude definitions for color images that allow for the...
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