摘要：

为得到质量较高的彩色图像边缘信息，基于符合人眼视觉特性的HSI颜色空间，提出一种新的彩色图像边缘检测算法。融合色度、饱和度和亮度分量得到新分量V，根据色度和饱和度的相关性改进色差度量方法，设计边缘生长方法以保证边缘连续性，结合4个分量的边缘信息得到最终边缘检测结果。实验结果表明，该算法可有效消除噪声影响，提高边缘信息的准确性。

关键词: 彩色图像, 边缘检测, HSI颜色空间, Canny梯度算子, 双阈值, 边缘生长

Abstract:

In order to improve the quality of the color image edge information, a new color edge detection alogortihm is proposed based on HSI color space which reflects the feature of human vision. A new component V combining the H, S, I components is used to improve the effectiveness of detection. The measurement of color distance is improved according to the correlative to H and S component. It uses edge growing method to get the edge images of the four components. Taking advantage of data fusion technique, the four edge images are combined into an edge image of the color image. Experimental results show that this algorithm can effectively eliminate noise effects and improve the accuracy of the edge information.

Key words: color image, edge detection, HSI color space, Canny gradient operator, dual-threshold, edge growing

中图分类号: 

• TN911.73