Biological Image Segmentation
نویسنده
چکیده
This paper presents an approach of using multiple image processing techniques including color segmentation, image smoothing, contrast enhancing, edge processing, thresholding and morphological reconstruction processing to identify and count the number of rods and cones in a mouse retina microscope image. Different approaches of image preprocessing have also been tested and the results have also been compared to find an optimal solution for this purpose. An adaptive background area removing method has also been addressed in this paper. This automated counting and adaptive background eliminating algorithm allow the researches to separate the target objects from the background and reduce the rate of overcounting.
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تاریخ انتشار 2007