Research on Image Segmentation Algorithm Based on Edge Detection and Otsu
摘要
As a classical algorithm,Otsu algorithm is applied widely in image segmentation field.The application of Two-dimensional(2D) Otsu algorithm based on Otsu algorithm is limited for the long computing time and poor anti-noise capacity.Therefore,this paper proposes a modified Otsu algorithm.By using new area partition method,the proposed algorithm respectively applies three edge detection operators(Sobel,Log and Canny) combined with linear fitting method to limit the object and background between a pair of boundaries which are parallel to the diagonal,and then uses the domain average value of noise pixels instead of the grey value.Finally the 2D Otsu oblique segmentation method is used to separate object from background.Experimental results show that compared with the traditional 2D Otsu algorithm and its modified algorithms,the proposed algorithm not only has a short operation time but also has a high quality of segmentation,a strong anti-noise capacity and a preferable adaptive ability.