Medical Image Contrast Enhancement Based on Histogram

被引：0
|
作者：
Yelmanova, Elena S. [1 ]
Romanyshyn, Yuriy M. [1 ,2 ]
机构：
[1] Lviv Polytech Natl Univ, Dept Elect & Comp Technol, Lvov, Ukraine
[2] Univ Warmia & Mazury, Olsztyn, Poland
来源：
2017 IEEE 37TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO) | 2017年
关键词：
image; contras; enhancement; low-contrast; small-size; automatic; histogram;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The problem of image enhancement for low-contrast medical images with complex structure was considered. The histogram-based method for automatic contrast enhancement of low-contrast images with small-size objects on the basis of the analyzing of contrast distribution at boundaries of objects and background was proposed. The proposed method is intended for automatic preprocessing of complex medical images with small-size low-contrast objects (with the details) in image. The research of the effectiveness for the proposed and the well-known histogram-based methods of automatic contrast enhancement were conducted using the known no-reference contrast metrics.
引用
收藏
页码：273 / 278
页数：6
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