Multi-level Image Thresholding by Taking Derivatives of Between-Class Variance and Parallel Processing

• Main Authors: Yuan-Jeng Huang, 黃元政
• Other Authors: n
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/ycw76d

碩士 === 崑山科技大學 === 機械工程研究所 === 92 === Parallel processing system wide range of application includes the nuclear test emulation analysis, bodywork to bump the shot test and super-speed image processing etc. The multi-level image thresholding is a basic and count for image processing rule, however the cultural heritage aims at the one processor and developments mostly, the related cultural heritage of the image parallel processing is still very limited. This paper contribution in improving the Otsu [1] two-level and multi-level image thresholding of Otsu’s technique and achieved a faster parallel processing version of Otsu’s, then match a gather type in PC Cluster System and super-speed LAN as the hardware to configure, practicing the instant image parallel processing, experiment result at Between-Class and multi-level image thresholding off the processing can get the anticipant efficiency, so the certificate uses Cluster System that this text lift and multi-level image thresholding parallel processing algorithm to suit to do the image parallel processing.