Research on the Segmentation and Pick-up Algorithm of Bamboo Wood Cross-section Based on Lab Color Space

다국어 초록 (Multilingual Abstract)

The accurate segmentation and extraction of bamboo cross-section image has a vital role on bamboo processing automation. The Lab color space in accordance with the color features of the bamboo wood cross-section is chosen in this paper. The bamboo cross-section image segmentation and extraction algorithm based on the clustering theory is proposed. The algorithm firstly takes advantage of the character that the colors represented by channel a and channel b of the Lab color space accord with the color of the bamboo wood, to be combined feature vector. Then the algorithm uses the k-mean clustering algorithm to classify the eigenvectors to realize the segmentation of the bamboo wood cross-section. At last the circle fitting algorithm is used to realize the final frame of the bamboo wood cross-section. The results of the experiments show that the algorithm can be used to realize the complete segmentation of the cross-section image of bamboo wood, and to frame the results correctly, the time performance of which can meet the requirements of the subsequent processing.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Color Space and Transformation
• 3. Research on the Bamboo Image Segmentation Algorithm
• 3.1 Feature Extraction based on Lab Color Space
• 3.2 Bamboo Wood Cross-section Image Segmentation and Circle Fitting Frame Algorithm
• 4. The Experiment and Result Analysis
• 5. Conclusion
• ACKNOWLEDGEMENTS
• References