图像分割
尺度空间分割
基于分割的对象分类
人工智能
分割
计算机科学
图像纹理
计算机视觉
基于最小生成树的图像分割
区域增长
图像处理
图像(数学)
范围分割
模式识别(心理学)
过程(计算)
操作系统
作者
D.Amutha Devi,K. Muthukannan
出处
期刊:IEEE International Conference on Advanced Communications, Control and Computing Technologies
日期:2014-05-01
卷期号:: 1374-1378
被引量:16
标识
DOI:10.1109/icaccct.2014.7019325
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI