06434261 is referenced by 23 patents.

The present invention comprises a method for the detection and segmentation of bright images within a digital image using wavelets. One example of such a bright image is microcalcifications within a mammogram. Multiresolution analysis may be used to detect and segment the possible microcalcification areas by combining Bayes classifiers. By analyzing the time-frequency characteristics of clustered microcalcifications, the inventors first choose the optimized wavelet for the detection of microcalcifications. A wavelet packet analysis is then used to detect different size microcalcifications. An adaptive method of choosing the threshold for detection by using a one-dimensional wavelet transform to analyze the PDF of the images at different scales is used. Then, a scheme to detect different size microcalcifications in different scale wavelet packet transformed images is developed. The processing results show that the inventors' methods are quite effective on a broad sample of mammograms in detecting microcalcifications even at low contrast. These segmentation and detection methods will prove useful in other applications, such as other medical imaging infrared applications, forward-looking infrared radar (FLIR), and other technologies.

Title
Method for automatic detection of targets within a digital image
Application Number
9/28250
Publication Number
6434261 (B1)
Application Date
February 23, 1998
Publication Date
August 13, 2002
Inventor
Mita D Desai
San Antonio
TX, US
Xiao Ping Zhang
Dundas
US
Agent
Fulbright & Jaworski L
US
Assignee
Board of Regents The University of Texas System
TX, US
IPC
G06K 9/00
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