A Self-Adaptive Method of Image Contrast Enhancement Based on Artificial Bee Colony Algorithm

被引：0

作者：

Ma, Miao ^{[1
,2
]}

Ding, Shengrong ^{[1
]}

Zhu, Yanfei ^{[1
]}

机构：

[1] Shaanxi Normal Univ, Coll Comp Sci, Xian, Shannxi, Peoples R China

[2] Shandong Univ, Sch Comp Sci & Technol, Jinan, Shandong, Peoples R China

来源：

2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 2 | 2011年

关键词：

image enhancement; Incomplete Beta Function; Artificial Bee Colony Algorithm; ABC ALGORITHM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To stretch image contrast and provide with more detail information, based on Artificial Bee Colony (ABC) algorithm and Incomplete Beta Function, this paper proposes a novel adaptive image enhancement method. The main idea is to employ ABC algorithm to select the optimal parameters of Incomplete Beta Function, which corresponds to the best-curve of grayscale transformation. Our experimental results show that the new method not only is fast and efficient, but also is superior to some traditional methods, such as histogram equalization, unsharp masking, and Genetic Algorithm based methods.

引用

页码：104 / 107

页数：4

共 9 条

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