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Fuzzy approach for smoothing and edge detection in color images

机译:彩色图像平滑和边缘检测的模糊方法

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Abstract: Edge detection is one of the most important imageprocessing steps towards image understanding. Theresultant isolated regions or segments must becompletely separated from their neighbors; that is,edges be continuous. Images must first be smoothed toremove noises. In this paper, a novel fuzzy smootheralgorithm is presented which removes all camera noisesand enhances edge contrasts. A fuzzy edge detectionalgorithm is then presented which is applied on thesmoothed image. In this algorithm normalized hue in HSIand color contrast in RGB spaces are combined using anaggregate operator. Almost local maxima is then foundfor all edge directions and the results are combined.Finding another local maxima produces promisingresults.!13
机译:摘要:边缘检测是实现图像理解的最重要的图像处理步骤之一。结果隔离的区域或段必须与相邻区域完全隔离;也就是说,边缘是连续的。首先必须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平滑算法,该算法可以消除所有相机噪声并增强边缘对比度。然后提出了一种模糊边缘检测算法,该算法应用于平滑图像。在该算法中,使用聚合算子将HSI中的标准化色相和RGB空间中的颜色对比度进行组合。然后在所有边缘方向上找到几乎局部最大值,并将结果合并在一起。找到另一个局部最大值会产生有希望的结果!13

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