[日語(yǔ)學(xué)習(xí)]digitalimageprocessingofcharpter-資料下載頁(yè)
2025-02-18 12:11本頁(yè)面
【正文】 I All pointes contained in the plane segment define by the intensity and boundary of the cube have the same hue. 32 Hue and Saturation 33 The HSI Color Model 34 Converting Colors from RGB to HSI 35 Converting Colors from HIS to RGB 36 Converting Colors from RGB to HSI 37 Example 38 Manipulating HIS Component Images 39 Manipulating HIS Component Images 40 Pseudocolor Image Processing ? Motivation ? Humans can discern thousands of color shades and intensities, pared to about only two dozen shades of gray. ? The principal use is for human visualization and Interpretation of grayscale events in an image or sequence of images. ? Pseudo (false) Color Image Processing ? Assigning colors to monochrome images ? Based on specified criterion 41 Intensity Slicing ? Intensity (density) slicing and color coding is one of the simplest examples of pseudocolor image processing. ? 3D coordinates (intensity versus spatial coordinates) ? Placing planes parallel to the coordinate plane of the image。 ? Each plane ‘slices’ the function in the area of intersection. 42 Illustration 43 Another Representation 44 General Case 45 Example 1 46 Example 2 47 Example 3 48 Basics of FullColor Image Processing ? Two categories: ? Process each ponent individually and then form a posite processed color image from the ponents. ? Work with color pixels directly. In RGB system, each color point can be interpreted as a vector. 49 Illustration 50 The End Thank you!
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