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长春光学精密机械与物... [2]
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会议论文 [2]
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2012 [1]
2010 [1]
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The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE)
会议论文
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China
Zhang M.-H.
;
Zhang Y.-Y.
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浏览/下载:26/0
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提交时间:2013/03/25
Mammary gland is composed entirely of soft tissue with approximate density
therefore mammary gland CR medicine radiation image presents a low contrast
and slight difference changes may be a manifestation of tumor
so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise
due to image details lost
aiming at the defects
a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio
moreover
CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.
An adaptive enhancement means adapt to CR medicine image (EI CONFERENCE)
会议论文
International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China
Zhang M.-H.
;
Zhang Y.-Y.
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浏览/下载:20/0
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提交时间:2013/03/25
It puts forward CR medicine image adaptive enhancement arithmetic based on the ratio of image variance to noise variance which can adjust factor K bases on CR image gray characteristic and enhance image detail and improve image diagnosis value. Experiment results demonstrate that the algorithm enhances CR image detail and the value of DV/BV was higher than the other algorithms
moreover CR image enhanced has good visual effect
the method is fit for edge detail enhancement of CR medicine radiation image. 2010 SPIE.
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