Sciweavers

Share
CSSE
2008
IEEE

Image Segmentation Based on 2D Otsu Method with Histogram Analysis

12 years 6 months ago
Image Segmentation Based on 2D Otsu Method with Histogram Analysis
—Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used because of their advantages of simple implement and time saving. Otsu method is one of thresholding methods and frequently used in various fields. Two-dimensional (2D) Otsu method behaves well in segmenting images of low signal-to-noise ratio than onedimensional (1D). But it gives satisfactory results only when the numbers of pixels in each class are close to each other. Otherwise, it gives the improper results. In this paper, 2D histogram projection is used to correct the Otsu threshold. The 1D histograms are acquired by 2D histogram projection in x and y axes and a fast algorithm for searching the extrema of the projected histogram is proposed based on the wavelet transform in this paper. Experimental results show that the proposed method performs better than the traditional Otsu method for our renal biopsy s...
Jun Zhang, Jinglu Hu
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CSSE
Authors Jun Zhang, Jinglu Hu
Comments (0)
books