Reviewing Soft Computing Approaches for Edge Detection: Hybrid and Non-hybrid

Manisha Kaushal; Akashdeep

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Reviewing Soft Computing Approaches for Edge Detection: Hybrid and Non-hybrid

机译：回顾用于边缘检测的软计算方法：混合和非混合

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—Soft Computing is a multifaceted technique comprising of Fuzzy Logic, Neural Network, Genetic algorithms and other Evolutionary computation. These paradigms have found wide variety of applications in the field of image processing. One of the most vital applications of image segmentation is edge detection where edge refers to the boundary between two consistent regions and edge detection is the process of detecting and finding abrupt discontinuities in an image. This paper summarizes hybrid and non-hybrid approaches for edge detection. The objective of this paper is to survey the core issues for soft computing based approaches for edge detection.

机译：-软计算是一种多方面的技术，包括模糊逻辑，神经网络，遗传算法和其他进化计算。这些范例已在图像处理领域中找到了广泛的应用。图像分割最重要的应用之一是边缘检测，其中边缘指的是两个一致区域之间的边界，边缘检测是检测和查找图像中突然突变的过程。本文总结了用于边缘检测的混合和非混合方法。本文的目的是调查基于软计算的边缘检测方法的核心问题。

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《Journal of Emerging Technologies in Web Intelligence》 |2013年第4期|共8页
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Manisha Kaushal; Akashdeep;
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中图分类自动化技术、计算机技术;
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Reviewing Soft Computing Approaches for Edge Detection: Hybrid and Non-hybrid

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