Title :
Shape from multi-rate filtering
Author_Institution :
Dept. of Biol. & Med. Syst., Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
We describe a multi-rate, compact Hough transform for shape detection. The approach is novel in its application of 2D steerable shape kernels at each level of a multi-rate pyramidal decomposition to construct accumulator spaces. Employing such filtering operations can provide efficiency gains in searching for particular closed shapes in digital images, whilst maintaining code simplicity and freedom from early thresholding operations
Keywords :
Hough transforms; feature extraction; filtering theory; image coding; transform coding; 2D steerable shape kernels; accumulator spaces construction; closed shapes; code simplicity; compact Hough transform; digital images; feature extraction; filtering operation; image coding; impulse response; multi-rate filtering; multi-rate pyramidal decomposition; shape detection; Biological information theory; Biomedical imaging; Computer vision; Detectors; Educational institutions; Filtering; Image sampling; Kernel; Shape; Transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861882
