Title :
Target detection with texture feature coding method and support vector machines
Author :
Liang, J. ; Zhao, X. ; Xu, R. ; Kwan, C. ; Chang, C.I.
Author_Institution :
Intelligent Autom. Inc., Rockville, MD, USA
Abstract :
A texture analysis approach of using an improved texture feature coding method (TFCM) and the support vector machines (SVM) for target detection is presented. Preliminary tests on mammograms showed over 88% of normal mammograms and 85% of abnormal mammograms were correctly identified. Automatic target detection with a cascade-sliding-window (CSW) technique is also discussed.
Keywords :
feature extraction; image classification; image coding; image texture; mammography; medical image processing; object detection; support vector machines; automatic target detection; automatic target recognition; cascade-sliding-window technique; image classification; mammograms; support vector machines; texture analysis; texture feature coding method; Computer vision; Image analysis; Image texture analysis; Landmine detection; Machine intelligence; Object detection; Support vector machine classification; Support vector machines; Target recognition; Weapons;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326357
