论文信息 - The GOP Parallel Image Processor

The GOP Parallel Image Processor

Images contain a great deal of information which requires large processing capabilities. For that purpose fast image processors have been developed. So far they have mainly dealt with processing of binary images obtained by thresholding gray scale images. For segmentation of images having more subtle features such as noisy lines or edges, texture, color, etc. more elaborate procedures have to be used.

Gösta H. Granlund

[1] FAYÉ A. BRIGGS,et al. PM4—A reconfigurable multiprocessor system for pattern recognition and image processing , 1979, 1979 International Workshop on Managing Requirements Knowledge (MARK).

[2] Azriel Rosenfeld,et al. Scene Labeling by Relaxation Operations , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[3] Frans A. Gerritsen,et al. Design and use of DIP-1: A fast, flexible and dynamically microprogrammable pipelined image processor , 1981, Pattern Recognit..

[4] Hans Knutsson,et al. Fourier Domain Design of Line and Edge Detectors , 1980 .

[5] Michael J. B. Duff,et al. Review of the CLIP image processing system , 1899, AFIPS National Computer Conference.

[6] Hans Knutsson,et al. Optimization of Arithmetic Neighborhood Operations for Image Processing , 1980 .

[7] G. Granlund. In search of a general picture processing operator , 1978 .

[8] A. Rosenfeld,et al. Edge and Curve Detection for Visual Scene Analysis , 1971, IEEE Transactions on Computers.

[9] Gösta H. Granlund. Description of texture using the general operator approch , 1980 .

[10] Anthony P. Reeves,et al. A Systematically Designed Binary Array Processor , 1980, IEEE Transactions on Computers.