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A fuzzy-like approach for smoothing and edge detection in color images

机译:一种类似模糊的彩色图像平滑和边缘检测方法

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摘要

Edge detection is one of the most important image processing steps towards image understanding. It is desired that edges be continuous and that the resultant regions or segments be completely isolated from their neighbors. Initially, images must first be smoothed to remove noise. In this paper, a novel fuzzy-like smoother algorithm is presented which removes camera noise and enhances edge contrast. The edge detection algorithm, which is applied on the smoothed image, is then presented.
机译:边缘检测是实现图像理解的最重要的图像处理步骤之一。期望边缘是连续的,并且所得到的区域或片段与它们的邻居完全隔离。最初,必须首先对图像进行平滑处理以去除噪点。在本文中,提出了一种新颖的模糊样平滑器算法,该算法可以消除相机噪声并增强边缘对比度。然后提出了边缘检测算法,该算法应用于平滑图像。

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