원문정보
초록
영어
In order to research the problem of the gray edge and leaving out some edges during detecting the color edges, the color contrast enhancement algorithm is designed that it dependences on decomposing the interrelated color component of the color images based on RGB color model. And the edge detection improved method is proposed based on the above algorithm. Namely, the components edges are computed by the gradient operators after the components are enhanced and the color image edges are composed. The experimental results show that the color edges are detected through the proposed method and the algorithm has the advantage of keeping the more edge details than the other ways. Because the algorithm is an improved method of pixel processing based on three components of RGB color model, it needn’t transform one color model to the other color model, so it is a more simple method than the other methods.
목차
1. Introduction
2. Research Basis
2.1 A Method of Contrast Enhancement Based on Pixel Operation
2.2 Edge Detection Algorithm
2.3 Edge Detection Results of Image Formation and Evaluation Criterion
3. Improved Color Image Edge Detection Method
3.1. Kernel Idea
3.2 HSI Model Color Image Edge Detection Method
3.3 RGB Model Color Image Edge Detection Method
4. Experiment Results
4.1. Experiment Results of Edge Detection Based on HSI Color Model
4.2 Experiment Results of Edge Detection Based on RGB Color Model
4.3 Comparison of Edge Detection Based on HSI and RGB Color Model
5. Conclusion
Acknowledgments
References