This lecture covers the fundamental concepts related to digital images and their processing. Topics covered include image processing fundamentals, image pre-processing, image segmentation, image compression, image representation, image description and object recognition. | Digital Image Processing CSC331 Introduction 1 My Introduction EDUCATION 2008 - 2012 Technical University of Munich, Germany . Major: Machine learning (Distinction) Dr. Asad Ali Safi Assistant Professor COMSATS Islamabad Pakistan 2 Course Description CSC331– Digital Image Processing Number of Credit Hours: 3 credits Catalog Description: This course covers the fundamental concepts related to digital images and their processing. Topics covered include image processing fundamentals, image pre-processing, image segmentation, image compression, image representation, image description and object recognition. 3 Definition Processing of images which are Digital in nature by digital Computers. 4 Why do we need to image processing ? Motivation by three major applications Improvement of pictorial information for human perception Image processing for autonomous machine applications Efficient storage and transmission 5 Human Perception Methods for enhancing pictorial information for human interpretation and analysis Common applications are Noise filtering Content enhancement Contrast De-blurring Remote sensing 6 Noise Filtering 7 Contrast enhancement 8 Contrast enhancement 9 De-blurring 10 Medical Imaging 11 Medical Imaging 12 Medical Imaging 13 Remote Sensing 14 Remote Sensing 15 Remote Sensing 16 Weather Forecasting 17 Atmospheric study 18 Astronomy 19 Astronomy 20 Machine vision applications Extract the image information for further computer processing Common applications are: Industrial machine vision for product assembly and inspection Automated target detection and tracking Finger print recognition Machine processing of aerial and satellite imagery for weather prediction and crop assessment 21 Automated inspection 22 Boundary Information 23 Automated inspection 24 Automated inspection 25 Surface information 26 Automated inspection 27 Video sequence processing To detect moving objects in image sequence for further processing Some applications are . | Digital Image Processing CSC331 Introduction 1 My Introduction EDUCATION 2008 - 2012 Technical University of Munich, Germany . Major: Machine learning (Distinction) Dr. Asad Ali Safi Assistant Professor COMSATS Islamabad Pakistan 2 Course Description CSC331– Digital Image Processing Number of Credit Hours: 3 credits Catalog Description: This course covers the fundamental concepts related to digital images and their processing. Topics covered include image processing fundamentals, image pre-processing, image segmentation, image compression, image representation, image description and object recognition. 3 Definition Processing of images which are Digital in nature by digital Computers. 4 Why do we need to image processing ? Motivation by three major applications Improvement of pictorial information for human perception Image processing for autonomous machine applications Efficient storage and transmission 5 Human Perception Methods for enhancing pictorial .
