Finding Boundaries in Images

J. Malik, P. Perona
1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990.  
In computational vision, finding the boundaries of the regions in a image which correspond to different surfaces in the scene is usually approached as a problem of detecting brightness edges. In this paper, we argue that this is a limited •·iew. Boundaries in images could be associated with differences on a number of visual attributes-brightness, color, texture, stereoscopic disparity and motion-all of which are utilized in human <·ision. Machine vision systems should do the same. We argue that
more » ... same. We argue that conmlution of the image with a bank of Gaussian derivative filters is a suitable common first stage for this task. \Fe also present some new results on the problem of detecting and localizing brightness edges composed of step, peak and roof profiles.
doi:10.1109/acssc.1990.523449 fatcat:oivtzf3janh7hk45dtp7bebvnq