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A NEW ALGORITHM FOR DETECTING THE TRANSITION REGION ON NOISE IMAGE 被引量:1

A NEW ALGORITHM FOR DETECTING THE TRANSITION REGION ON NOISE IMAGE
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摘要 An algorithm of ramp width reduction based on the gray information of neighborhood pixels is proposed, which can sharpen the ramp edge effectively. Then, a new gray-weighted gradient operator and the automatic method to determine its parameter are introduced when detecting the transition region of images. Gray-weighted gradient operator can not only make the correlation of gradient and gray information as big as possible, but also resist the noise in the images. Some experiments show that the algorithm in this paper can extract the transition region more effectively. An algorithm of ramp width reduction based on the gray information of neighborhood pixels is proposed, which can sharpen the ramp edge effectively Then, a new gray-weighted gradient operator and the automatic method to determine its parameter are introduced when detecting the transition region of images. Gray-weighted gradient operator can not only make the correlation of gradient and gray information as big as possible, but also resist the noise in the images. Some experiments show that the algorithm in this paper can extract the transition regaon more effectively.
出处 《Journal of Electronics(China)》 2003年第4期279-284,共6页 电子科学学刊(英文版)
基金 Supported by the National Natural Foundation of Guangdong(No.011750)
关键词 Ramp edge Width reduction Transition region Gray-weighted gradient operator 斜面边际 宽度缩减 过度区 图像处理
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