Image Processing A Computational Approach Jon Schendt University
- Slides: 23
Image Processing – A Computational Approach Jon Schendt University of Wisconsin-Platteville
Outline Overview of Image Processing Bit Operations (Boolean Logic) Chain, Crack, and Run Codes Noise Filtering and Reduction Anti-Aliasing Dithering Applications Demonstration
Overview of Image Processing
Outline Overview of Image Processing Bit Operations (Boolean Logic) Chain, Crack, and Run Codes Noise Filtering and Reduction Anti-Aliasing Dithering Applications Demonstration
Bit Operations (Boolean Logic) AND Used for color filtering, as well as boolean noise reduction OR Used primarily to apply color filters XOR Used to flip bits. Great for inverse algorithms
Outline Overview of Image Processing Bit Operations (Boolean Logic) Chain, Crack, and Run Codes Noise Filtering and Reduction Anti-Aliasing Dithering Applications Demonstration
Chain, Crack, and Run Codes Built on the fact that all images have “edges” Used in pattern-matching Needs to distinguish between background data and foreground data
Chain Codes Built on the presumption that images are digitalized, and have ‘Edges’ Distinguish from foreground and background
Chain Codes {5, 6, 7, 7}
Crack Codes Similar to chain codes, but with fewer possibilities Leads to possible “cracks” in the code Crack Codes {3, 2, 3, 3, 0, 0}.
Run Codes Great for brute-force pattern recognition Analyzes pixels, and creates rows based on parameters
Outline Overview of Image Processing Bit Operations (Boolean Logic) Chain, Crack, and Run Codes Noise Filtering and Reduction Anti-Aliasing Dithering Applications Demonstration
Noise Filtering and Reduction SUSAN Weighting Pixels Preserves Edges, colors, while reducing overall noise Overall Algorithm Uses the weighting pixels algorithm to determine which color should be prominent Creates an image that is almost always free of scatter noise, while preserving quality and sharpness (no blurs)
Qualitative results of the SUSAN algorithm
Qualitative results of the SUSAN algorithm
Outline Overview of Image Processing Bit Operations (Boolean Logic) Chain, Crack, and Run Codes Noise Filtering and Reduction Anti-Aliasing Dithering Applications Demonstration
Anti-Aliasing Works by creating a blur on objects Gives a “far away” look
Outline Overview of Image Processing Bit Operations (Boolean Logic) Chain, Crack, and Run Codes Noise Filtering and Reduction Anti-Aliasing Dithering Applications Demonstration
Dithering Only necessary on computers with a small color palate Making intermediary colors through small pixels
Outline Overview of Image Processing Bit Operations (Boolean Logic) Chain, Crack, and Run Codes Noise Filtering and Reduction Anti-Aliasing Dithering Applications Demonstration
Applications Games 2 -D Games 3 -D Games Medical Detecting tumors CT Scan analysis Automated devices
Applications cont. Military DARPA RADAR tools Corporate Autonomous robots Pattern-matching software Educational Machine Sight
Outline Overview of Image Processing Bit Operations (Boolean Logic) Chain, Crack, and Run Codes Noise Filtering and Reduction Anti-Aliasing Dithering Applications Demonstration