Patent Number: 6,434,261

Title: Method for automatic detection of targets within a digital image

Abstract: 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.

Inventors: Zhang; Xiao-Ping (Dundas, CA), Desai; Mita D. (San Antonio, TX)

Assignee: Board of Regents, The University of Texas System

International Classification: G06T 5/10 (20060101); G06T 7/00 (20060101); G06T 5/00 (20060101); G06K 009/00 (); G06K 009/34 (); G06K 009/38 ()

Expiration Date: 08/13/2019