PPT-CS654: Digital Image Analysis

Lecture 6 Basic Transformations Recap of Lecture 5 Different distance measures D4 D8Dm Euclidean Application of distance transform Shape matching Arithmetic and logical operations on 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. 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 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 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 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 5. : Pixels Relationships. Recap of Lecture 4. Different pixel relationships. Neighbourhood. Connectivity. Adjacency. Path. Connected component labelling. Outline. Different distance measures. 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. 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?. 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. 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.