About Us ABET ECE 1390Introduction to IMage Processing(3 credits) Description : Introductory subjects in image processing, including image spaces and image representation, image filtering and enhancement, edge detection, edge and region based segmentation, contour detection and shape description, texture analysis, and object recognition. Prerequisites : ECE 1552 or consent of instructor Text : R. Jain, R. Kasturi and B. G. Schunck, Machine Vision, McGraw-Hill, 1995. Reference: M. Sonka, V. Hlavac and R. Boyle, Image Processing, Analysis, and Machine Vision, 2 nd ed., PWS Publishing, 1998. Course Objectives : To create an environment where students can acquire notions and basic techniques about digital image processing such that they are prepared to develop comprehensive computer-based solutions to problems like object recognition in complex scenes. Topics Covered : Image geometry, histograms and thresholding, binary image processing including connected component labeling, region (Shape) properties, medial axis, thinning, shrinking and expanding, mathematical morphology, region segmentation and representation, split and merge, region growing, image filtering, edge detection, contour detection and shape description, Hough transform, texture analysis, and object recognition notions. Class Schedule : Two lecture sessions per week, 75 minutes for each session. There are extensive laboratory work assignments in the term. Using the Matlab Image Processing Toolbox and other software, students are asked to do eleven computer projects on processing samples of synthetic and natural images including document images, medical images and human face images. Professional Component Contributions : The students work on the computer project assignments enhancing their knowledge and processing skills. The later assignments in the term are reasonably close to real-world problems and are of sufficient complexity to require careful planning and allocation of a student’s time. All of the assignments require written reports of computer-based solutions giving analysis and interpretation of the results. Prepared by: C.C. Li Date Prepared: May 15, 2005
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