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dc.contributor.authorLiao, Ping-Sung
dc.contributor.authorChen, Tse-Sheng
dc.date.accessioned2009-08-23T04:39:27Z
dc.date.accessioned2020-05-25T06:25:49Z-
dc.date.available2009-08-23T04:39:27Z
dc.date.available2020-05-25T06:25:49Z-
dc.date.issued2006-10-27T07:31:28Z
dc.date.submitted1996-12-19
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2758-
dc.description.abstractMammography has been an effective and simple diagnostic method to detect the breast cancer in an early stage. In general, the suspicious region of the breast cancer or other abnormal symptom of breast occupies a bitty part of a mammogram. It takes 4MB storage space to archive the sampled part at spatial resolution 2047 X 2048 with 256 gray intensity. It is difficult to handle all patient mammograms in a picture archives and communication system for its incredible amount of storage space. Since the cloud-like tissue background of a mammogram almost appears the property of self similarity, the fractal compression technique is considered as a better solution to reduce its storage space. The results of the experiments show that it can cut down about 75% storage space for a block size of 4 X 4 and preserve image quality of average 35dB Peak Signal to Noise Ratio (PSNR).
dc.description.sponsorship中山大學,高雄市
dc.format.extent8p.
dc.format.extent1834292 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries1996 ICS會議
dc.subjectfractal compression
dc.subjectmammogram
dc.subjectself similarity
dc.subject.otherVOD
dc.titleFractal Compression on Mammograms
分類:1996年 ICS 國際計算機會議

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