SOBEL和GABOR图像滤波器用于鱼类识别的分析

2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering Pub Date : 2013-04-15 DOI:10.1109/ICPRIME.2013.6496457

G. T. Shrivakshan

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引用次数: 8

摘要

本文研究了利用边缘特征边界对鲨鱼进行分类的方法。在深海中探测鲨鱼鱼类的种类是一个至关重要的问题。边缘检测是计算机视觉系统对物体进行识别和估计的核心，对边缘检测技术有良好的感知是至关重要的。本文对各种图像边缘检测技术进行了比较分析。所提出的工作在MATLAB工具中进行了测试。结果表明，Gabor滤波器的性能优于Sobel滤波器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An analysis of SOBEL and GABOR image filters for identifying fish

This paper deals in classifying shark fishes using the Edges characterize boundaries. It is a problem of fundamental importance in detecting the type of shark fish in the deep sea. The edge detection is in the head of computer vision system for recognition of objects and estimate it is critical to have a good perceptive of edge detection techniques. In this paper the comparative analysis of various Image Edge Detection techniques are considered. The proposed work was tested in MATLAB tool. It has been shown that the Gabor's filter performs better than Sobel filter.

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2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering

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