1. Yazd university Mohammad dehghani Mohammad Mehdi Mirjalili Farshad Savandi Image processing Winter 1392 1/34

2. Outline 2 Yazd universityWhats IMAGE PROCESSING History Main expressions Applications Basic operations in image processing Using Matlab conclusion 3. 3 Whats IMAGE PROCESSING ? Yazd university 4. 4 History 1964 Yazd university 5. 5 1960s History Yazd university 6. 66 1970s History Yazd university 7. 7 1980s History Yazd university 8. 8 Yazd university Main expressions images analogue digital Pixel (Picture elements) 9. 9 Yazd university Main expressions 3072 * 2304 10. 10 Yazd university Main expressions Main expressions Imagecoding 11. RoBoTic Application 11 Yazd university Steer robots discernment Machine Vision FPGA ( field-programmable gate array) 12. Application Medical Diagnosis of disease Auto segmentation of brain tumor Breast tumor detection in mammography images 12 Yazd university 13. Application Industrial Control Intelligent machine vision applications Featres : Very low maintenance costs Very low error speeding 13 Yazd university Use in 14. Application Security 14 Yazd university Biometric 15. 15 Application Yazd university Municipal (Traffic control & car plate recognition ,) Others : Agriculture Aerology & Weather Military ... 16. Application 16 Yazd university Compressing images Compressing manners JPEG MPEG MP3 MPEG2 MPEG4 17. 17 Application Yazd universityBasic operations in image processing Image Recognition Image Restoration Image Compression Average picture Improve Image Image composition Image segmentation 18. 18 Application Yazd university Image Restoration Disorders Be cutting Lines established 19. Calculating average of some pictures Our aim 19 Reducing noises Yazd university 20. Image improvement Increasing picture quality Omitting noise filtering omitting only dots 20 Yazd university 21. It reduces details. Noise in picture 21 Yazd university 22. Filtering image pixels smooth sharp filter smoother sharper 22 Yazd university 23. Other classification of filters 1. median filter 2. Adoptive median 3. spatial smoothing 23 Yazd university 24. We do this after filtering image Omitting only dots 24 for Removing remained points Yazd university 25. color 1. RGB 2. Gray scale 3. HSV 4. HIS 5. CMYK. 25 We can make 16,581,375 colors in RGB model Model of colors Yazd university 26. Adding two images Adding brightness of images, that is matrix elements 26 ADD Yazd university 27. 27 Adding two images ADD Yazd university 28. Subtraction of images subtracting brightness of images, that is matrix elements 28 Yazd university 29. image segmentation Dividing image to fundamental components 29 Yazd university 30. 30 Yazd university Coffee beans separation 31. 31 Yazd university Traffic monitoring 32. 1. Image simplification 2. Object recognition 3. Object finding 4. Using in Robots .... Why image segmentation ? 32 Yazd university 33. Image segmentation algorithms 33 Yazd university 34. Conclusion 34 Basic Steps of image processing 1. Image Recognition 2. Image restoration 3. Compressing 4. Image segmentation 5. Image enhancement Yazd university 35. 35 Image processing in Matlab Yazd university