digital image processing projects 数字图像处理 冈萨雷斯 第六章所有程序和报告.docx

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1、digital image processing projects 数字图像处理 冈萨雷斯 第六章所有程序和报告Digital Image Processing Project chapter： Chapter 6 Project number： Proj06-01 Proj06-04 Students name： Students number： Class： Contents WEB-SAFE COLORS . 2 PSEUDO-COLOR IMAGE PROCESSING . 2 COLOR IMAGE ENHANCEMENT BY HISTOGRAM PROCESSING . 5 CO

2、LOR IMAGE SEGMENTATION . 7 1 Web-Safe Colors Exp. 20，PROJECT 06-01 Objective To know what are Web-safe colors, how to generate the RGB components for a given jpeg color image, or convert an image to RGB manually? Requirements (a) Write a computer program that converts an arbitrary RGB color image to

3、 a web-safe RGB image (see Fig. 6.10 for a definition of web-safe colors). (b) Download the image in Fig. 6.8 and convert it to a web-safe RGB color image. Figure 6.8 is given in jpg format, so convert your result back to jpg (see comments at the beginning of this project). Figure 1 Fig6.08.jpg 2 Te

4、chnical discussion B = fix(A) rounds the elements of A toward zero, resulting in an array of integers.For complex A, the imaginary and real parts are rounded independently. imwrite(A,filename,fmt) writes the image A to the file specified by filename in the format specified by fmt. Program listings I

5、=imread(Fig6.08.jpg); subplot(131); imshow(I); title(original); I1=fix(I/51)*51); subplot(132); imshow(I1); title(web-safe colors(jpg); imwrite(I1,web-safe colors.jpeg,jpeg); subplot(133); I=imread(web-safe colors.jpeg); imshow(I); title(web-safe colors(jpeg); Discussion of results originalweb-safe

6、colors(jpg)web-safe colors(jpeg)Figure 2 results of project 06-01 1 Pseudo-Color Image Processing Exp. 21，PROJECT 06-02 Objective To know when the highpass filtering Hhp(u,v) can be obtained by using the relation 1-Hlp(u,v). Requirements (a) Implement Fig. 6.23, with the characteristic that you can

7、specify two ranges of gray-level values for the input image and your program will output an RGB image whose pixels have a specified color corresponding to one range of gray levels in the input image, and the remaining pixels in the RGB image have the same shade of gray as they had in the input image

8、. (b) Download the image in Fig. 6.22(a) and process it with your program so that the river appears yellow and the rest of the pixels are the same shades of gray as in the input image. Figure 3 Fig6.22(a).jpg 2 Technical discussion RGB components rgb_R=I(:, :, 1); rgb_G=I(:, :, 2); rgb_B=I(:, :, 3);

9、 Program listings I=imread(Fig6.22(a).jpg); subplot(121); imshow(I); title(original); I=double(I); m,n=size(I); L=256; for i=1:m for j=1:n if I(i,j)L/4 R(i,j)=0; G(i,j)=4*I(i,j); B(i,j)=L; else if I(i,j)=L/2 R(i,j)=0; G(i,j)=L; B(i,j)=-4*I(i,j)+2*L; else if I(i,j)r1_u-1.25*r1_d)&(rr1_u+1.25*r1_d); r

10、2(ind)=1; subplot(222); imshow(r2); title(segmentation); subplot(234); imshow(r); 8 title(R component); subplot(235); imshow(g); title(G component); subplot(236); imshow(b); title(B component); Discussion of results originalsegmentationR componentG componentB componentFigure 8 results of project 06-04 9