Edge Detection of Plant Roots Image via Gabor Wavelet Theory

摘要：

The pictures extracted from the plant roots often have quite big noises and often affected greatly by the light intensity, neither could we achieve satisfactory results by using the traditional image edge detection method to detect the edge information. To this issue, a method for edge detection and its application in edge image detection for plant roots via gabor wavelet theory is proposed, which is able to filter from different directions and scales to determine the edge of the texture under perfect frequency, and proposes methods that using Gabor wavelet theory to detect the image edges of the plant root. Experimental results show that compared with other traditional edge detection methods, the proposed approach is effective in reduction of color space dimensionality and robust to noise.

关键词： Plant Roots Edge Detection Gabor wavelet theory Image Processing

作者: Wen-long Song Li-hui Wang Liang-kuan Zhu Fa-yi Qu

作者单位: Department of Electromechanics Engineering, Northeast Forestry University, Harbin 150040, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1101-1104

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）