Comparison of The Local and Global Thresholding Methods in Image Segmentation
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The image segmentation is the basic step in the image processing involved in the processing of medical images. Image segmentation is an essential but critical component in low level vision image analysis and, pattern recognition.nbsp It is one of the most difficult and challenging tasks in image processing which determines the quality of the final result of the image analysis[1]. This paper presents an approach to segment the medical images obtained from the mammograms It extracts the texture from the given image. Various image segmentation algorithms are discussed.
[1] Edgardo Manuel Felipe Riverón,et al. An Adaptive Color Similarity Function for Color Image Segmentation , 2011, CIARP.
[2] Pau-Choo Chung,et al. A Fast Algorithm for Multilevel Thresholding , 2001, J. Inf. Sci. Eng..