Thresholding histogram equalization

被引:0
作者
Chuang K.-S. [1 ]
Chen S. [1 ]
Hwang I.-M. [1 ]
机构
[1] Department of Nuclear Science, National Tsinghua University, Hsinchu
关键词
Histogram equalization; Image enhancement; Portal image; Threshold;
D O I
10.1007/s10278-001-0103-z
中图分类号
学科分类号
摘要
The drawbacks of adaptive histogram equalization techniques are the loss of definition on the edges of the object and overenhancement of noise in the images. These drawbacks can be avoided if the noise is excluded in the equalization transformation function computation. A method has been developed to separate the histogram into zones, each with its own equalization transformation. This method can be used to suppress the nonanatomic noise and enhance only certain parts of the object. This method can be combined with other adaptive histogram equalization techniques. Preliminary results indicate that this method can produce images with superior contrast.
引用
收藏
页码:182 / 185
页数:3
相关论文
共 10 条
[1]  
Rogowska J., Overview and fundamentals of medical image segmentation, Handbook of Medical Imaging Processing and Analysis, (2000)
[2]  
Pizer S.M., Zimmerman J.B., Staab E.V., Adaptive grey level assignment in CT scan display, J Comput Assist Tomogr, 8, pp. 300-305, (1984)
[3]  
Pizer S.M., Amburn E.P., Austin J.D., Et al., Adaptive histogram equalization and its variations, Comput Vision Graphics Image Process, 39, pp. 355-368, (1987)
[4]  
Fu J.C., Lien H.C., Wong S.T., Wavelet-based histogram equalization enhancement of gastric sonogram images, Comput Med Imaging Graph, 24, pp. 59-68, (2000)
[5]  
Braunstein E.M., Capek P., Buckwalter K., Et al., Adaptive histogram equalization in digital radiography of destructive skeletal lesions, Radiology, 166, pp. 883-885, (1988)
[6]  
Pisano E.D., Cole E.B., Hemminger B.M., Et al., Image processing algorithms for digital mammography: A pictorial essay, Radiographics, 20, pp. 1479-1491, (2000)
[7]  
Pisano E.D., Zong S., Hemminger B.M., Et al., Contrast limited adaptive histogram equalization image processing to improve the detection of simulated speculations in dense mammograms, J Digit Imaging, 11, pp. 193-200, (1998)
[8]  
Rehm K., Seeley G.W., Dallas W.J., Et al., Design and testing of artifact-suppressed adaptive histogram equalization: A contrast-enhancement technique for display of digital chest radiographs, J Thorac Imaging, 5, pp. 85-91, (1990)
[9]  
Crooks I., Fallone B.G., Contrast enhancement of portal images by selective histogram equalization, Med Phys, 20, pp. 199-204, (1993)
[10]  
Leszczynski K.W., Shalev S., Cosby N.S., The enhancement of radiotherapy verification images by an automated edge detection technique, Med Phys, 19, pp. 611-621, (1992)