标题:A Self-Adaptive Method of Image Contrast Enhancement Based on Artificial Bee Colony Algorithm
作者:Ma, Miao; Ding, Shengrong; Zhu, Yanfei
通讯作者:Ma, M
作者机构:[Ma, Miao; Ding, Shengrong; Zhu, Yanfei] Shaanxi Normal Univ, Coll Comp Sci, Xian, Shannxi, Peoples R China.; [Ma, Miao] Shandong Univ, Sch Comp Sci 更多
会议名称:AASRI Conference on Artificial Intelligence and Industry Application (AASRI-AIIA 2011)
会议日期:MAY 23-24, 2011
来源:2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 2
出版年:2011
页码:104-107
关键词:image enhancement; Incomplete Beta Function; Artificial Bee Colony; Algorithm
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.
收录类别:CPCI-S
资源类型:会议论文
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