Abstract
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.
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Supported by the Natural Science Foundation of Guangdong(No.011750)
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Wang, H., Luo, J. A new algorithm for detecting the transition region on noise image. J. of Electron.(China) 20, 279–284 (2003). https://doi.org/10.1007/s11767-003-0033-7
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DOI: https://doi.org/10.1007/s11767-003-0033-7