Detection of cancer in breast thermograms using mathematical threshold based segmentation and morphology technique

被引:0
作者
Kumod Kumar Gupta
Pallavi Rituvijay
Shivani Pahadiya
机构
[1] Department of Electronics Banasthali Vidyapith,
来源
International Journal of System Assurance Engineering and Management | 2022年 / 13卷
关键词
Thermograms; Image processing; Mammography; Watershed; Morphology; Region of interest; Benign; Malignant;
D O I
暂无
中图分类号
学科分类号
摘要
The breast thermography measure is a physiological examination that gives information subject to the warmth varieties in the breast. Breast thermography is a physiological test that gives data dependent on the temperature changes in the breast. It accounts for the temperature spread of a human body in the exposure of the infrared radiation released through the outer side of that body. Precancerous tissue along with the surrounded zone around a risky tumor experiences higher temperature due to angiogenesis, and higher compound and vein activity than a standard breast thus breast thermography can identify early irregular variations in breast tissues. It may perceive the essential sign of building out sickness before mammography can distinguish. In this paper, the author derives the mathematical threshold-based methodology is reasonable, famously utilized in the segmentation strategy, and also Develop an algorithm that defines how well our technique is figuring out the hottest region and mark a ridgeline on hottest suspected regions.
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页码:421 / 428
页数:7
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