A 2-PHASE AREA-LEVEL LINE EDGE DETECTOR

Abstract

In this paper, a new feature detector is proposed to extract both edge and line points existing in a same image. It takes an n X n block as a processing unit and locates feature points through two phases: classification and extraction. In the classification phase, based on some local and global properties of the feature points, each block is classified as homogeneous, a line or an edge block. In the extraction phase, for each line or edge block, according to its block type, the proposed approach takes a corresponding feature extractor to locate all feature points. As the block type is known, the extraction work can be speeded up and the extraction result will be more accurate. Furthermore, since the type of extracted feature point is known, this will make segmentation easier. Experimental results are also given to show the effectiveness of the proposed method.