人工智能
图像(数学)
二值图像
计算机视觉
GSM演进的增强数据速率
计算机科学
对比度(视觉)
噪音(视频)
二进制数
模式识别(心理学)
边缘检测
数学
图像处理
算术
作者
Qiang Chen,Quansen Sun,Pheng‐Ann Heng,Xia De-shen
标识
DOI:10.1016/j.patcog.2007.09.007
摘要
This paper presents a new double-threshold image binarization method based on the edge and intensity information. We first find seeds near the image edges and present an edge connection method to close the image edges. Then, we use closed image edges to partition the binarized image that is generated using a high threshold, and obtain a primary binarization result by filling the partitioned high-threshold binary image with the seeds. Finally, the final binarization result is obtained by remedying the primary binarization result with the low-threshold binary image. Compared with the classical binarization methods and the similar binarization methods, our method is effective on the binarization of images with low contrast, noise and non-uniform illumination.
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