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Abstract An algorithm of ramp width reduction based on the gray information of neighbor-hood pixels is proposed, which can sharpen the ramp edge effectively. Then, a new gray-weightedgradient operator and the automatic method to determine its parameter are introduced whendetecting the transition region of images. Gray-weighted gradient operator can not only makethe correlation of gradient and gray information as big as possible, but also resist the noise inthe images. Some experiments show that the algorithm in this paper can extract the transitionregion more effectively.
Abstract An algorithm of ramp width reduction based on the gray information of neighbor-hood pixels is proposed, which can sharpen the ramp edge effectively. Then, a new gray-weightedgradient operator and the automatic method to determine its parameter are introduced whendetecting the transition region Gray-weighted gradient operator can not only makethe correlation of gradient and gray information as big as possible, but also resist the noise inthe images. Some experiments show that the algorithm in this paper can extract the transitionregion more effectively.