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In the field of Image Processing, Image segmentation is a low level but important task in entire image understanding system which divides an image into its multiple disjoint regions based on homogeneity. In most of the machine vesion and high level image understanding application this is one of the important steps. Till date different techniques of image segmentation are available and hence There...
Image segmentation plays a critical role in the process of object recognition in digital image processing. Multilevel threshold-based segmentation is one of the most popular image segmentation techniques. This paper proposes a new multilevel threshold-based image segmentation approach on the basis of the new particle swarm optimisation with wavelet mutation. Unlike the conventional particle swarm...
Particle swarm optimization (PSO) has recently emerged as a simple yet very efficient algorithm for global optimization over continuous spaces. This article describes the application of an improved variant of PSO to the segmentation of objects from complicated real life images. The segmentation task amounts to finding a robust and optimal threshold that separates an object from a background frame...
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