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Fuzzy Logic based Edge Detection Method for Image Processing

机译:基于模糊逻辑的图像边缘检测方法

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Edge detection is the first step in image recognition systems in a digital image processing. An effective way to resolve many information from an image such depth, curves and its surface is by analyzing its edges, because that can elucidate these characteristic when color, texture, shade or light changes slightly. Thiscan lead to misconception image or vision as it based on faulty method. This work presentsa new fuzzy logic method with an implemention. The objective of this method is to improve the edge detection task. The results are comparable to similar techniques in particular for medical images because it does not take the uncertain part into its account.
机译:边缘检测是数字图像处理中图像识别系统的第一步。解决图像中许多信息(例如深度,曲线及其表面)的有效方法是分析其边缘,因为当颜色,纹理,阴影或光线稍有变化时,可以阐明这些特征。基于错误的方法,这可能导致误解图像或视觉。这项工作提出了一种带有实现的新的模糊逻辑方法。该方法的目的是改善边缘检测任务。该结果可与类似技术相媲美,特别是对于医学图像而言,因为它没有考虑到不确定部分。

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