FPGA implementation of log-polar mapping
| Autor: | Wai Kit Wong, Joo Peng Teh, Chee Wee Choo, Chu Kiong Loo |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
Pixel Computer science Computer Networks and Communications Image quality business.industry Machine vision ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Industrial and Manufacturing Engineering Computer Science Applications Computer vision Artificial intelligence Electrical and Electronic Engineering Field-programmable gate array MATLAB business Active vision Reset (computing) computer Software Panoramic photography Information Systems computer.programming_language Data compression |
| Zdroj: | International Journal of Computer Applications in Technology. 39:12 |
| ISSN: | 1741-5047 0952-8091 |
| DOI: | 10.1504/ijcat.2010.034724 |
| Popis: | Log-polar or spatially-variant image representation is an important component of active vision system in tracking process for many robotic applications due to its data compression ability, faster sampling rates and hence, direct to faster image processing speed in machine vision system. In this paper, we try to implement log-polar mapping techniques on Xilinx FPGA (field programmable gate array) board for unwarping the omnidirectional images into panoramic images to present a wide angle of view by preserving fine output image quality in a higher data compression manner. Simulations are also run on MATLAB to find out the optimum mapping criterion. Some significant advantages of this new approach are: lighter processing system, lesser space utilization, cost saving, faster processing speed and faster reset time (boot time) compared to a laptop computer that uses MATLAB for doing the unwarping process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|