TY - GEN
T1 - Image segmentation based on 2D Otsu method with histogram analysis
AU - Jun, Zhang
AU - Jinglu, Hu
PY - 2008
Y1 - 2008
N2 - 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 one-dimensional (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 samples.
AB - 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 one-dimensional (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 samples.
KW - 2D Otsu method
KW - 2D histogram projection
KW - Image segmentation
KW - Wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=79951472722&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951472722&partnerID=8YFLogxK
U2 - 10.1109/CSSE.2008.206
DO - 10.1109/CSSE.2008.206
M3 - Conference contribution
AN - SCOPUS:79951472722
SN - 9780769533360
T3 - Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
SP - 105
EP - 108
BT - Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
T2 - International Conference on Computer Science and Software Engineering, CSSE 2008
Y2 - 12 December 2008 through 14 December 2008
ER -