PPT-CS654: Digital Image Analysis

Lecture 12 Separable Transforms Recap of Lecture 11 Image Transforms Source and target domain Unitary transform 1D Unitary transform 2D High computational complexity Outline of Lecture 12. 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. Caitlin Stamper. The first commercially available digital camera was the 1990 . Dycam. Model 1 (Logitech . Fotoman. ).. It used a CCD image sensor, stored pictures digitally, and connected directly to a computer for download.. 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. 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. ELE 488 Final Project, Fall 2011. Princeton University. Ali JavadiAbhari. Watermarking. Why?. Fingerprinting (tracking). Indexing (search engines). Copyright protection and owner identification. Data hiding . 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. Lecture 32: Image Morphology: Open, Closing and Transforms. Recap of Lecture 31. Image morphology. . Set operation on images. . Dilation – translation, union. . Erosion – translation, intersection. 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. 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. 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. 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:. Color: an image containing any color. 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..