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3的圖形,使用的是 8階的 RGB色彩機制,且該圖形內(nèi)容及調(diào)色盤如下: 154503211No R G B 0 0 0 0 1 2 3 4 2 5 4 2 3 6 5 0 4 7 1 1 5 1 2 2 6 2 3 3 7 2 4 7 Gray 0 3 4 5 3 2 3 4 Digital Image Processing, 2nd ed. 169。 R. E. Woods Chapter 3 Image Enhancement in the Spatial Domain (Part C) Image Processing, Department of Information Management, Leader University 139下書網(wǎng) ,電子書,電腦教程下載 Digital Image Processing, 2nd ed. 169。Digital Image Processing, 2nd ed. 169。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 2022 R. C. Gonzalez amp。 then map level sk into the final level zk. Use the preputed values from Steps (2) and (4) for these mappings. ? Step (5) implements two mappings. The first mapping is nothing more than histogram equalization. Digital Image Processing, 2nd ed. 169。 R. E. Woods Original Image Digital Image Processing, 2nd ed. 169。 R. E. Woods Fail to Histogram Equalization Since the problem with the transformation function in Fig. (a) was caused by a large concentration of pixels in the original image with levels near 0. Digital Image Processing, 2nd ed. 169。 R. E. Woods Good Result by Histogram Matching Method Manually specified function G(z) G1(z) Digital Image Processing, 2nd ed. 169。 R. E. Woods Discussion of Histogram Matching ? Histogram specification is a trialanderror process. ? In general, there are no rules for specifying histograms, and one must resort to analysis on a casebycase basis for any given enhancement task. Digital Image Processing, 2nd ed. 169。 R. E. Woods Local Enhancement ? The histogram equalization and histogram matching is the global processing, that is, the pixels are modified by a transformation function based on t