Detection of Calcifications in Digitized Mammograms Using Modification of Wavelet Packet Transform Coefficients(Special Issue on Measurements and Visualization Technology of Biological Information)

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概要

• 論文の詳細を見る

• This paper presents a method for detection of calcification, which is an important early sign of breast cancer in mammograms. Since information of calcifications is located in inhomogeneous background and noises, it is hard to be detected. This method uses wavelet packet transform(WPT)for elimination of the background image related to low frequency components. However, very high frequency signals of noises exist with the calcifications and make it hard to suppress them. Since calcification location can be represented as vertical, horizontal, and diagonal edges in time-frequency domain, the edges in spatial domain can be utilized as a filter for noise suppression. Then the image from inverse transform will contain only required information. A free-response operating characteristic(FROC)curve is used to evaluate a performance of proposed method by applying it to thirty images of calcifications. The results show 82.19 percent true positive detection rate at the cost of 6.73 false positive per image.

• 社団法人電子情報通信学会の論文
• 2002-01-01

著者

• Chamnongthai K

  Vision And Vlsi Lab. Electronic And Telecommunication Engineering Department Faculty Of Engineering

• Chamnongthai Kosin

  Computer Vision Lab. Department Of Electronic And Telecommunication Engineering Faculty Of Engineeri

• CHIRACHARIT Werapon

  Computer Vision Lab., Department of Electronic and Telecommunication Engineering, Faculty of Enginee

• Chiracharit Werapon

  Computer Vision Lab. Department Of Electronic And Telecommunication Engineering Faculty Of Engineeri

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• The Variable Hysteresis Band in Delta-Sigma Modulation(Nonlinear Theory and its Applications)
• Detection of Calcifications in Digitized Mammograms Using Modification of Wavelet Packet Transform Coefficients(Special Issue on Measurements and Visualization Technology of Biological Information)
• Mobile Robot Navigation by Wall Following Using Polar Coordinate Image from Omnidirectional Image Sensor

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