Evaluation of the Digital images of Penaeid Prawns Species Using Canny Edge Detection and Otsu Thresholding Segmentation

Image segmentation is a key topic of research from many years. Image segmentation plays a very important role in computer vision .The purpose of image segmentation is to partition the image into an set of disjoint regions with the homogeneous and uniform attributes like intensity, tone, color and texture. Edge detection in images considerably reduces the amount of data and filters useless information, while considering the important properties of an image. There are various methods for the segmentation of the image. In this paper the segmentation algorithms are analyzed using Canny edge detection and Otsu thresholding and are tested with different species of Prawn images. The paper focuses mainly on the effectiveness and efficiency of the two techniques, used for testing their suitability for the type of Prawn images.