A Method of Color Space Selection for Color Forest Inspection Image Denoising Applications

摘要：

The color forest dynamic inspection images corrupted by some noise are a large amount of original information obtained in the processing of defending the forest diseases and insect pests. Based on analyzing three color image attributes such as resolution, pixel depth and true color or pseudocolor, it is separately presented what are the external evaluation rules about the means and effect of the forest plant diseases and insect pests color image denoising processing in real time in RGB, HSI and YCbCr color space. The experiment results show that color space must be reasonly selected during the course of color image denoising. The advantage of applying HSI or YCbCr color space is that the denoising arithmetic executes faster and it fits the circumstance of less noise than applying RGB color space. The advantage of applying RGB color space is that the denoising arithmetic executes slower space and it fits the circumstance of more noise than applying HSI or YCbCr color.

关键词： forest inspection color image color space denoising external evaluation rules

作者: Jianwei Wang Wei Zhao

作者单位: College of Information and Computer Engineering,Northeast Forestry University, Harbin 150040,People’ College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, Peopl

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）