{"id":374,"date":"2016-11-04T17:55:34","date_gmt":"2016-11-04T17:55:34","guid":{"rendered":"http:\/\/www.inspirenignite.com\/anna-university\/?p=374"},"modified":"2019-07-17T07:17:06","modified_gmt":"2019-07-17T07:17:06","slug":"anna-university-b-tech-it-r13-7th-digital-image-processing-detailed-syllabus","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-b-tech-it-r13-7th-digital-image-processing-detailed-syllabus\/","title":{"rendered":"Anna University B.Tech IT (R13) 7th Digital Image Processing Detailed Syllabus"},"content":{"rendered":"<p>Digital Image Processing Syllabus for B.Tech 7th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.<\/p>\n<p>The detailed syllabus for Digital Image Processing B.Tech (R13) seventhsem is as follows<\/p>\n<p><strong>OBJECTIVES:<\/strong>\u00a0The student should be made to:<\/p>\n<ul>\n<li>Learn digital image fundamentals<\/li>\n<li>Be exposed to simple image processing techniques<\/li>\n<li>Be familiar with image compression and segmentation techniques<\/li>\n<li>Learn to represent image in form of features<\/li>\n<\/ul>\n<p><strong>UNIT I : DIGITAL IMAGE FUNDAMENTALS<\/strong> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 [8 hours]<\/p>\n<p>Introduction \u2013 Origin \u2013 Steps in Digital Image Processing \u2013 Components \u2013 Elements of Visual Perception \u2013 Image Sensing and Acquisition \u2013 Image Sampling and Quantization \u2013 Relationships between pixels &#8211; color models<\/p>\n<p><strong> UNIT II : IMAGE ENHANCEMENT<\/strong> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 [10 hours]<\/p>\n<p>Spatial Domain: Gray level transformations \u2013 Histogram processing \u2013 Basics of Spatial Filtering\u2013Smoothing and Sharpening Spatial Filtering \u2013 Frequency Domain: Introduction to Fourier Transform \u2013 Smoothing and Sharpening frequency domain filters \u2013 Ideal, Butterworth and Gaussian filters<\/p>\n<p><strong>UNIT III : IMAGE RESTORATION AND SEGMENTATION<\/strong> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0[9 hours]<\/p>\n<p>Noise models \u2013 Mean Filters \u2013 Order Statistics \u2013 Adaptive filters \u2013 Band reject Filters \u2013 Band pass Filters \u2013 Notch Filters \u2013 Optimum Notch Filtering \u2013 Inverse Filtering \u2013 Wiener filtering Segmentation: Detection of Discontinuities\u2013Edge Linking and Boundary detection \u2013 Region based segmentation- Morphological processing- erosion and dilation<\/p>\n<p style=\"text-align: center\"><strong><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">Download iStudy<\/a> <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">Android<\/a><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\"> App for complete Anna University syllabus, results, timetables and all other updates. There are no ads and no pdfs and will make your life way easier.<\/a><\/strong><\/p>\n<p><strong>[TOTAL: 45 PERIODS]<\/strong><\/p>\n<p><strong> OUTCOMES:<\/strong> Upon successful completion of this course, students will be able to:<\/p>\n<ul>\n<li>Discuss digital image fundamentals<\/li>\n<li>Apply image enhancement and restoration techniques<\/li>\n<li>Use image compression and segmentation Techniques<\/li>\n<li>Represent features of images<\/li>\n<\/ul>\n<p><strong>TEXT BOOK:<\/strong><\/p>\n<ul>\n<li>Rafael C. Gonzales, Richard E. Woods, \u201cDigital Image Processing\u201d, Third Edition, Pearson Education, 2010.<\/li>\n<\/ul>\n<p><strong>REFERENCES:<\/strong><\/p>\n<ul>\n<li>Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, \u201cDigital Image Processing Using MATLAB\u201d, Third Edition Tata McGraw Hill Pvt. Ltd., 2011.<\/li>\n<li>Anil Jain K. \u201cFundamentals of Digital Image Processing\u201d, PHI Learning Pvt. Ltd., 2011.<\/li>\n<li>Willliam K Pratt, \u201cDigital Image Processing\u201d, John Willey, 2002.<\/li>\n<li>Malay K. Pakhira, \u201cDigital Image Processing and Pattern Recognition\u201d, First Edition, PHI Learning Pvt. Ltd., 2011.<\/li>\n<li>http:\/\/eeweb.poly.edu\/~onur\/lectures\/lectures.html<\/li>\n<li>http:\/\/www.caen.uiowa.edu\/~dip\/LECTURE\/lecture.html<\/li>\n<\/ul>\n<p>For all other B.Tech IT 7th sem syllabus go to <a href=\"http:\/\/www.inspirenignite.com\/anna-university\/anna-university-b-tech-information-technology-7th-sem-course-structure-for-r13-batch\/\">Anna University B.Tech Information Technology (IT) 7th Sem Course Structure for (R13) Batch.<\/a>\u00a0All details and yearly new syllabus will be updated here time to time.<\/p>\n<p>Do share with friends and in case of questions please feel free drop a comment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Digital Image Processing Syllabus for B.Tech 7th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course. [&hellip;]<\/p>\n","protected":false},"author":2259,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-374","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/374","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=374"}],"version-history":[{"count":2,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/374\/revisions"}],"predecessor-version":[{"id":10632,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/374\/revisions\/10632"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=374"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=374"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=374"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}