A Novel Thresholding Segmentation and Edge Optimization Method Using Spatial Gradient Information
Proposes a novel edge detection method combining gray histogram with spatial gradient information for low contrast image.This method gets improved results via three key steps:in de-noising process,preserves most of the edges by analyzing the character of noisy point and edge point;combined the spatial gradient information with gray histogram to obtain the thresholds of segmentation;applies the spatial gradient information again to optimize the extracted edges.Experimental results show that the proposed method obtains better results in low contrast images of various characters.
Low Contrast ImageEdge DetectionGray HistogramSpatial Gradient Information
NETL
NSTL
万方数据
维普
