By Petra Perner, Ovidio Salvetti
This ebook constitutes the refereed lawsuits of the foreign convention on Mass facts research of signs and pictures in drugs, Biotechnology and Chemistry, MDA 2006 and 2007, held in Leipzig, Germany..
The themes comprise options and advancements of sign and snapshot generating approaches, item matching and item monitoring in microscopic and video microscopic photos, 1D, second and 3D form research, description and have extraction of texture, constitution and placement, snapshot segmentation algorithms, parallelization of picture research and semantic tagging of pictures from existence technology applications.
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Obviously, pixels with value 0 have been classified as background pixels in the three segmented images. Pixels belonging to each connected component of 3’s, 2s and 1’s could be labeled with the average color of the corresponding region in the input image. We have noted that, if this method is adopted, some region merging becomes necessary. We are currently working on this problem. 4 Conclusion In this paper we have presented a segmentation scheme for gray-level images based on two processes: non-topological erosion and topological expansion.
6, where the white lines superimposed on the input image identify the borders of the detected foreground components. Alternatively, the three binary images could be added to each other, producing an image with values ranging from 0 to 3. Pixels with value 3 belong to components identified in all the segmented images, pixels with value 2 or 1 belong to components detected in two or just one segmented image. Obviously, pixels with value 0 have been classified as background pixels in the three segmented images.
Top: the 128×128 image, left, and its 64×64 lower resolution representation, right. Bottom: the components found at the end of the process for the 128×128 image, left, and the 64×64 image, right. Fig. 5. The segmentation obtained for the running example In Fig. 5, the segmentation of the running example is shown. The white lines, superimposed on the original image, identify the borders of the components of the foreground that have been singled out. 3 Extending the Method to Color Images In this section, we briefly discuss a possible way to extend our method to color images.