图像处理中的图像分割方法研究

S. Prabu, J. Gnanasekar
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引用次数: 0

摘要

图像处理技术是当前计算机技术的重要组成部分,在医学领域、目标检测、视频监控系统、计算机视觉等领域发挥着至关重要的作用。图像处理的重要过程是图像分割。图像分割是将图像分割成各种称为片段的小部分的过程。图像处理可以简化图像的表示,以便对图像进行分析。基于像素的特定特征,开发了许多图像分割算法。本文对不同的分割算法进行了回顾和分析,最后列出了各种算法的比较。这一比较研究有助于提高不同图像处理领域中分割方法的精度和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Image Segmentation Method for Image Processing
Image processing techniques are essential part of the current computer technologies and that it plays vital role in various applications like medical field, object detection, video surveillance system, computer vision etc. The important process of Image processing is Image Segmentation. Image Segmentation is the process of splitting the images into various tiny parts called segments. Image processing makes to simplify the image representation in order to analyze the images. So many algorithms are developed for segmenting images, based on the certain feature of the pixel. In this paper different algorithms of segmentation can be reviewed, analyzed and finally list out the comparison for all the algorithms. This comparison study is useful for increasing accuracy and performance of segmentation methods in various image processing domains.
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