Quantitative analysis of marker-based watershed image segmentation

被引：6
|
作者：
Madhumitha, S. [1 ]
Manikandan, M. [1 ]
机构：
[1] Anna Univ, Madras Inst Technol, Dept Elect Engn, Madras 600044, Tamil Nadu, India
来源：
CURRENT SCIENCE | 2018年 / 114卷 / 05期
关键词：
Gradient magnitude; image segmentation; markers; morphology; watershed;
D O I：
10.18520/cs/v114/i05/1007-1013
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
A methodology is proposed by combining the application of markers along with watershed transformation and thresholding for image segmentation. Use of the traditional watershed algorithm is widespread because of its advantage of being able to produce a complete division of the image. However, its drawbacks include over-segmentation and noise sensitivity. Therefore, the marker-based watershed segmentation is proposed here to overcome these effects. First, the original image is preprocessed by filtering techniques in order to smoothen it. Secondly, the foreground objects are marked. Then, the background markers are computed. Finally, the marked image is transformed through watershed transformation. The area is computed for the segmented objects in the image. It has been proved that this method reduces the error percentage.
引用
收藏
页码：1007 / 1013
页数：7
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