PPT-CS654: Digital Image Analysis
Author : trish-goza | Published Date : 2016-08-15
Lecture 5 Pixels Relationships Recap of Lecture 4 Different pixel relationships Neighbourhood Connectivity Adjacency Path Connected component labelling Outline
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CS654: Digital Image Analysis: Transcript
Lecture 5 Pixels Relationships Recap of Lecture 4 Different pixel relationships Neighbourhood Connectivity Adjacency Path Connected component labelling Outline Different distance measures. We have no digital cable boxes that will work on digital cable tv No digital cable box is available Digital cable descrambler and digital cable box will be available someday At this time no digital cable tv box is available Look for digital cable de Which of the following are advantages of using digital images?. instant review and edit. high quality pictures. easy insertion into popular application programs. all of the above . . Which of the following are advantages of using digital images?. take notes in your journal. Monitors. Small LCD displays built into most cameras. Menus are displayed on monitor. Compose your . image on a monitor. Review images on the monitor. Drains battery when monitor is on. Lecture 21: Image Restoration. Recap of Phase 1. Image: acquisition, digitization. Geometric Transformations: Interpolation techniques. Image Transforms (spatial to frequency domain). Image Enhancement (spatial and frequency domain). By: . Georg Petschnigg Maneesh Agrawala Hugues Hoppe Richard Szeliski. Michael Cohen Kentaro Toyama,. Microsoft Corporation. Presented by. : Yael Amsterdamer. Advanced Topics in Visual Computing, Spring 2012. Lecture 20: Image Enhancement in Frequency Domain. Recap of Lecture 19. Spatial filtering. Mean Filter. Non-Local Mean Filter. Median Filter. Unsharp. Masking. Adaptive . Unsharp. Masking. Outline of Lecture 20. Lecture 28: Advanced topics in Image Segmentation. Image courtesy: IEEE, IJCV. Recap of Lecture 27. Clustering based Image segmentation. Mean Shift. Kernel density estimation. Application of Mean shift: Filtering, Clustering, Segmentation. Processing & Machine Vision. By:. Dr. Rajeev Srivastava. Associate Professor, CSE, IIT(BHU), Varanasi. Fundamentals of . Digital Image Processing. • Applications of image processing. • What's an image?. Lecture 11: . Image . Transforms. Recap of Lecture 10. B-Spline curve. Constant, Linear, Quadratic, Cubic interpolation. Nearest neighbour, Bi-Linear, Bi-Cubic interpolation. Outline of Lecture 11. Image transforms. 22 . June . 2016. Digital Artwork. Screen Capture of Desktop. Digital Photograph (Portrait). Digital Photograph (Landscape). Digital Photograph (Still Life). Digital Photo Editing (B&W). Original Image. Monitor Bridge Behavior and Condition . Prepared by the University of New Hampshire . Department . of Civil Engineering for the . New . Hampshire Department of Transportation . How to you measure the structural health of a bridge?. 2. Chapter Contents. Section A: Digital Sound. Section B: Bitmap Graphics. Section C: Vector and 3-D Graphics. Section D: Digital Video. Section E: Digital Rights Management. FastPoll True/False Questions. Ales . Zita. Publication. Digital Image Forgery Detection Based on Lens and Sensor Aberration. Authors. . : . Ido. . Yerushalmy. , . Hagit. Hel-Or. . Dept. of Computer Science, University of Haifa, Israel. English. You will need. A pen or pencil and paper.. A digital device.. Your notes from previous two lessons.. Review. Reviewed technical language for analysing an image.. Practised analysing images through the 4 lenses..
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