Fusion-Based Noisy Image Segmentation Method
نویسندگان
چکیده
A modified algorithm for segmenting microtomography images is given in this work. The main use of the approach is in visualizing structures and calculating statistical object values. The algorithm uses localized edges to initialise snakes for each object separately then moves curves within the images with the help of gradient vector flow (GVF). This leads to object boundary detection and obtain fully segmented complicated images with the aid of methods like region merging and multilevel thresholding.
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