basic of Image processing using matlab
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The document outlines various image processing techniques using MATLAB, including reading, resizing, and displaying images. It demonstrates operations like creating negative images, rotating, cropping, converting to binary and indexed images, adding noise, and adjusting image properties. The author provides practical code snippets for each operation.
![CROPED IMAGE
r4=imcrop(I,[6040 80 90]);
figure,imshow(r4)](https://image.slidesharecdn.com/imageprocessing-150315003254-conversion-gate01/85/basic-of-Image-processing-using-matlab-4-320.jpg)
![NOISEDINTERRUPTED IMAGE
r8=imnoise(I,'salt&pepper',0.22);
figure,imshow(r8)
ADJUST THE IMAGE
r9=imadjust(I,[00.2],[0.51]);
figure,imshow(r9)](https://image.slidesharecdn.com/imageprocessing-150315003254-conversion-gate01/85/basic-of-Image-processing-using-matlab-7-320.jpg)
basic of Image processing using matlab
- 1. Image processing using matlab BY, ROHIT SINHA (1SI11TE038) ORIGINALIMAGE I=imread('E:rohitdocrohit.jpg'); imshow(I); RESIZED IMAGE r=imresize(I,0.5); imshow(r);
- 4. CROPED IMAGE r4=imcrop(I,[6040 80 90]); figure,imshow(r4)
- 5. CONVERTA GRAY LEVEL IMAGE TO BINARYIMAGE r5=im2bw(I); figure,imshow(r5) CONVERTA TRUE COLOR IMAGE TO AN INDEXEDIMAGE r6=rgb2ind(I,0.1); figure,imshow(r6)
- 6. CONVERTA GRAY SCALEIMAGE TO AN INDEXED IMAGE r7=grayslice(I,50); figure,imshow(r7)
- 7. NOISEDINTERRUPTED IMAGE r8=imnoise(I,'salt&pepper',0.22); figure,imshow(r8) ADJUST THE IMAGE r9=imadjust(I,[00.2],[0.51]); figure,imshow(r9)
- 8. IMAGE DETAILS USING MATLAB imfinfo('E:rohitdocrohit.jpg')