Thresholding and Swarm Intelligence Technique for Image Segmentation: An Overview
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Abstract
The present technique used for the image processing is image segmentation. The gain of the information is more and accurate in the image segmentation process. There are several techniques and methods for the segmentation process of the image. For the practical use the technique based on the thresholding is one of the most simple and important technique. The thresholding technique of segmentation of the image based on the 2-D histogram is useful for the practical work. The grey value of the pixels of the image and average of the grey value of the pixels is used for the segments of the image. The nature of the image is digital in nature for the segmentation of the image.
In this paper we will study the use of algorithm known swarm intelligence for the segmentation of the image. The process of the segmentation of the image is fast by using this algorithm. This algorithm is useful for performing segmentation of the image in the real images. Several tests and implementations have been done using this algorithm on the real image. The results from different test that we have received have showed that this algorithm is applicable for the real time applications and requires less computational time.
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