Title :
Image processing for image understanding with neural nets
Author :
Barnard, Etienne ; Casasent, David
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie-Mellon Univ., Pittsburgh, PA, USA
Abstract :
The image-processing techniques required for an image-understanding system are considered. Although many of the image-processing steps can be implemented with neural nets, it is found that only the classification stage is currently optimally implemented in this way. Conventional methods of image processing that can be used in conjunction with neural net classifiers are described. A case study employing these concepts is presented. Optical realizations of many operations are noted.<>
Keywords :
neural nets; pattern recognition; picture processing; classification; image understanding; image-processing techniques; neural nets; optical realizations; pattern recognition; picture processing; Image processing; Neural networks; Pattern recognition;
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
DOI :
10.1109/IJCNN.1989.118567
