Implementing grayscale morphological operators with a compact ranked order extractor circuit
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications - Trang 646-653
Tóm tắt
Mathematical morphology provides tools for many image processing tasks. In this paper we discuss the implementation of grayscale morphological operators of erosion, dilation and reconstruction with a hardware efficient ranked order filter circuit. By using dedicated hardware for these basic operations a higher performance of processing more complex functions in a massively parallel processor array can be achieved. Because the circuit realization of the ranked order filter used is very compact, the area required for one processing cell can be kept low. Simulations of the operation were performed with a 0.18 /spl mu/m digital CMOS technology.
Từ khóa
#Gray-scale #Circuits #Morphology #Image reconstruction #Filters #Image processing #Hardware #Cellular neural networks #Morphological operations #Data miningTài liệu tham khảo
paasio, 2001, An Analogue Circuit for Weighted Ranked Order Filtering, Proc ECCTD 01
paasio, 2001, A Compact Computational Core for Image Processing, Proc ECCTD 01
lazzaro, 1989, Winner-take-all Networks of O(n) Complexity, Advances in neural information processing systems, 1, 703
10.1109/81.661683
10.1049/el:19960728
10.1109/5.387088
goutsias, 2000, Mathematical Morphology and its Applications to Image and Signal Processing, 10.1007/b117970