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引用次数: 12

摘要

对于任何自动化图像分析过程来说,图像分割都是一项重要的任务,因为图像处理中的所有后续任务都严重依赖于图像分割的质量。它决定了分析的最终成功或失败。当图像具有不同的灰度级背景时,就会出现图像分割问题。图像分割有多种算法和方法,但需要开发一种独特的方法。本文比较了几种图像分割算法,对水稻叶片的病变部分进行了分割。
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Analysis of segmentation scheme for diseased rice leaves
For any automated image analysis process, the segmentation is an important task because all subsequent tasks in image processing heavily rely on the quality of image segmentation. It determines the eventual success or failure of the analysis. The problem in image segmentation occurs when an image has a varying gray level background. There are several algorithms and methods are available for image segmentation, but there is a need to develop a unique method for it. In this paper, some of the image segmentation algorithms are compared to segment the diseased portion of rice leaves.
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