Reviewing Otsu’s Method For Image Thresholding

Abstract

Image processing is largely used for gathering more knowledge / understanding either by human or by machines like computer. Segmentation, Thresholding and Edge detection are an important technique in Computer vision and Image processing. In digital images feature detection or extraction can be done for finding the irregularities in the image maybe in the rightness etc. This paper is a small review on Otsu"s method. This is proposed for improving the efficiency of computation for the optimal thresholds of an image. This paper gives thresholding technique and Otsu"s method of thresholding, also expresses its algorithm and working. This method gives satisfactory results when the numbers of pixels in each class are close to each other. It is the most referenced thresholding methods, as it directly operates on the gray level histogram, so it"s fast and computes an optimized threshold value. It automatically performs clustering-based image thresholding as its one of many binarization algorithms. 21778

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