关键词: RGB三维直方图, 超像素, 同质区, DBSCAN聚类

Abstract: It is of great significance to combine large-area homogeneous regions with superpixels to detect, track and recognize targets and to process remote sensing images. In the process of merger, superpixel is required to have good edge retention. The traditional method of superpixel segmentation pursues shape rules within ignoring edge fit. In view of this, an image segmentation method based on RGB three-dimensional histogram combined with DBSCAN is proposed. Firstly, 3D RGB histogram of image is analyzed to obtain initial superpixels with high edge conformance, then the proper eigenvalues are selected, and the superpixels are merged by using the DBSCAN algorithm to generate a large homogeneous region. Experimental results show that the edge preserving and computing efficiency of new method are better than those of traditional methods. When using DBSCAN to combine superpixels, the segmentation accuracy is obviously improved and homogeneity area edge is more exact.

Key words: RGB 3D histogram, superpixels, homogeneous regions, DBSCAN clustering