PPT-CS654: Digital Image Analysis

Lecture 8 Stereo Imaging Recap of Lecture 7 Inverse perspective transformation and its issues Many to one mapping Generalized perspective transformation Fundamentals of camera calibration Outline of Lecture 8. 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. The nature and acquisition of a digital image. Image Types. All images can be thought of as “color” images since even black and white are colors. More commonly we distinguish between three types of images:. 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). Lecture 30: Clustering based Segmentation. Slides are . adapted from: http://www.wisdom.weizmann.ac.il/~vision/. Recap of Lecture 26. Thresholding. Otsu’s method. Region based segmentation. Region growing, split-merge, quad-tree. Lecture 7. : Camera Model and Imaging . Geometry. Recap of lecture 6. Basic mathematical transformation. Translation, Rotation, Scaling. Transformation about origin and arbitrary point. Transformation in 2D and 3D. Lecture 32: Image Morphology: Open, Closing and Transforms. Recap of Lecture 31. Image morphology. . Set operation on images. . Dilation – translation, union. . Erosion – translation, intersection. 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?. 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 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. Spring . 2018. 16-725 . (CMU . RI) : . . BioE. 2630 (Pitt). Dr. John Galeotti. What Are We Doing?. Theoretical & practical skills in medical image analysis. Imaging modalities. Segmentation. Registration. 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. 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..