By Aurélio Campilho, Mohamed Kamel
The two-volume set LNCS 3211/3212 constitutes the refereed lawsuits of the overseas convention on photograph research and popularity, ICIAR 2004, held in Porto, Portugal, in September/October 2004. The 210 revised papers provided have been rigorously reviewed and chosen from 316 complete papers submitted. The papers are geared up in topical sections on picture segmentation, snapshot processing and research, snapshot research and synthesis, picture and video coding, form and matching, photograph description and popularity, video processing and research, 3D imaging, photo retrieval and indexing, morphology, biomedical purposes, rfile processing, colour research, texture research, movement research, surveillance and distant sensing, monitoring, face detection and popularity, defense structures, visible inspection.
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Additional info for Image Analysis and Recognition
Alternatively, we can take the Euclidean distance from the pixel to the spot center as a feature. In this case, the spot center refers to the weighted-mean of the coordinates using the intensity as the weight. The coordinates of the spot center are computed as follows: where is the intensity of the pixel, and contains its coordinates. When we consider the fact that a pixel with most of its surrounding pixels belonging to the same cluster is likely to belong to the same group, we take into account the mean of the surrounding pixels within a certain distance and the variance of the intensities.
GenePix  and ScanArray Express  also provide the option for fixed circle method. Another method that was proposed to avoid the drawback of the fixed circle segmentation is the adaptive circle segmentation technique. This method considers the shape of each spot as a circle, where the center and diameter of the circle are estimated for each spot. An implementation of this approach can be found in GenePix, ScanAlyze, ScanArray Express, Imagene, and Dapple . Adaptive circle segmentation involves two steps.
A Modified Nearest Neighbor Method 15 Fig. 3. Images from mosquito’s intestines. By dividing the both hand sides of the above equation with we can obtain the approximation of which is denoted as as follows. com/. 3(a)) are images observed by fluorescence microscopy from mosquito’s intestines. 3. According to these results, Proposed-Method-I and Proposed-MethodII provided almost as good results as EM Method. While the computational 16 K. Yano and I. Kumazawa cost of Proposed-Method-I is almost same as that of NN Method and much lower than the cost of EM Method, it reconstructed much better images than NN Method.