The Green Fluorescence Image Segmentation With The Combination of HSV Model and Watershed Algorithm

被引：0

作者：

Yang, Chengjia ^{[1
,2
]}

Li, Xiongfei ^{[1
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China

[2] Jilin Jianzhu Univ, Network Informat Ctr, Changchun 130118, Peoples R China

来源：

PROCEEDINGS OF 2015 6TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE | 2015年

关键词：

HSV color space; watershed algorithm; Green Fluorescent Protein;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

To solve the problem of extracting the features of green fluorescent protein image, this paper proposes a method of combining a HSV model with watershed algorithm. This article based on the HSV color model, make full use of the color and brightness of image, by setting the brightness of the threshold to deal the image with binarization processing, then travel through the median filter to deal the noise of the image, finally uses the mathematical morphology watershed algorithm to realize the separation of target and background. We can prove that this algorithm has achieved very good results.

引用

页码：607 / 610

页数：4

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