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1、Digital Image Processing Course Introduction,Course Information,Text Book:RafaelC.Gonzalez, RichardE.Woods, Digital Image Processing, SecondEdition, （影印版），清华大学出版社，2002,The Origins of the Digital Image Processing,In the early 1920s, digital image was first applied in the newspaper industry, when the
2、pictures were first sent by submarine cable between London and NewYork.More than one week less than three hours,Note: only consider how to code the images and display them, but not involve any Image processing methods., 欢迎莅临 BBS大话西游站 ,cccccccccccc cccc cccc cccc ccccc ccc,Coded pictures with specif
3、ied printer characters,In the early 1960s, the first computers powerful enough to carry out meaningful image processing tasks appeared.task: improve the images sent back from a space probe. (Jet Propulsion Lab., California),Goals of Image Processing,Low Level Image Processing Improvement of pictoria
4、l information for human interpretation (Improving the visual appearance of images to a human viewer ).In such case, both its input and output are images.reduce noise; contrast enhancement; image sharpening Mid Level Image ProcessingSuch as image segmentation( partitioning the images into regions or
5、objects), its output are attributes extracted from the original image( e.g., edges, contours, and identity of individual objects).High Level Image Processing- Image analysis Processing of scene data for autonomous machine perception (Preparing images for measurement of the features and structures pr
6、esent , with application to image data storage, transmission, and representation),About Digital Images,This course is about digital images and what can be done to digital images. A digital image is simply an image that can be stored in a computer, i.e. a discrete function of position and greylevel.
7、For example, in the 2D case the image data contains information of the graylevel at each position in the image.,A digital image of a rat,The magnification of the rats nose,Digital Images,A digital image can be thought of as a matrix of graylevels, or intensity values.,The magnification of the rats n
8、ose,94 100 104 119 125 136 143 153 157 158 103 104 106 98 103 119 141 155 159 160 109 136 136 123 95 78 117 149 155 160 110 130 144 149 129 78 97 151 161 158 109 137 178 167 119 78 101 185 188 161 100 143 167 134 87 85 134 216 209 172 104 123 166 161 155 160 205 229 218 181 125 131 172 179 180 208 2
9、38 237 228 200 131 148 172 175 188 228 239 238 228 206 161 169 162 163 193 228 230 237 220 199,The Intensity values of the rats nose,Ways of Image Acquisition,Video camera, eye-fish camera, omni-camera Infrared camera Radar X-ray machine, Computational Tomography (CT) Range camera (laser) and more,W
10、hy put the image into a computer?,Human Computer +identify objects +measure absolute values +describe relationships +perform complicated calculations +interpret images with +doesnt get tiredexperience +fast -subjective +objective,The Application of Image Processing,The areas of the application of di
11、gital image processing are so varied, which can be classified according two basic rules: image source( visual ,X-ray, etc) The fields of the application (agriculture, medical, military, etc),Digital Images: Applications,Environmental and agriculture applications,Multispectral satellite image Of Hurr
12、icane,Aerial Image of a forest,Microscopy Image of a wood,Medical Applications,Diagnosis,X-ray Image,MR(Magnetic Resonance),PET (Positron Emission Tomography),Medical Applications,AIDS-virus particles (Electron microscopy),cultured and stained cells,stained cell nuclei in cancer tumor,Research and D
13、evelopment,Industry Application,Other Applications,Military Reconnaissance and Missile Guidance,Other Applications,Automated License Plate Reading,Computer Vision,Face Recognition,Other Applications:,Video Surveillance and Public Safety,Thumb fingerprint,Video Monitor,Course Contents,Filtering in th
14、e spatial domain The Fourier transform and its use in image analysis Image Enhancement and Denoise Color Image Segmentation Binary image operations, morphology and feature,Some topics discussed in the course,Fourier Transform,Original Image,The Power Spectrum After Fourier Transformation,The Reconstructed Image Of Filtered Power Spectrum,Filter in space domain,The image with noise,After Median Filtering,Edge Detection,Image Segmentation,Segmentation means to divide an image into objects and background. This is a necessary step prior to feature extraction.,
