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Modified Watershed Algorithm for Segmentation of 2D Images

机译:用于二维图像分割的改进分水岭算法

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摘要

With the repaid advancement of computer technology, the use of computer-based technologies is increasing in different fields of life. Image segmentation is an important problem in different fields of image processing and computer vision. Image segmentation is the process of dividing images according to its characteristic e.g., color and objects present in the images. Different methods are presented for image segmentation. The focus of this study is the watershed segmentation. The tool used in this study is MATLAB. Good result of watershed segmentation entirely relay on the image contrast. Image contrast may be degraded during image acquisition. Watershed algorithm can generate over segmentation or under segmentation on badly contrast images. In order to reduce these deficiencies of watershed algorithm a preprocessing step using Random Walk method is performed on input images. Random Walk method is a probabilistic approach, which improves the image contrast in the way image is degraded.
机译:随着计算机技术的日新月异,基于计算机的技术在生活的不同领域中的使用也在增加。图像分割是图像处理和计算机视觉的不同领域中的重要问题。图像分割是根据图像的特征(例如图像中存在的颜色和对象)分割图像的过程。提出了用于图像分割的不同方法。这项研究的重点是分水岭分割。本研究中使用的工具是MATLAB。分水岭分割的好结果完全取决于图像的对比度。在图像获取期间,图像对比度可能会下降。分水岭算法可在对比度差的图像上生成过度分割或分割不足。为了减少分水岭算法的这些缺陷,对输入图像执行使用随机游走法的预处理步骤。随机游走法是一种概率方法,它以降低图像质量的方式提高了图像对比度。

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