article · Systems and Computers in Japan · 1994
Fast morphology hardware using large‐sized structuring element
Shoji Kojima, Yoshinobu Ebisawa, T. Miyakawa
Cited by 10Abstract and details only
Abstract
Abstract Mathematical morphology is one of the data processing methods that is extremely useful for image processing and has many applications, such as, noise elimination, shape description, texture analysis, and so on. The mathematical base of morphological processing is dilation and erosion which are described by set analysis and can be expressed in logical AND, OR notation. Localized parallel processing including morphological processing is not suitable to Neumann architecture because of the memory access bottleneck which makes it hard to achieve the high throughout data processing required in applications such as video image processing. Also the cytocomputer aimed at fast image processing has a drawback in that it can handle only very small structuring elements. In this paper, first, an algorithm is presented which accelerates morphological image processing. Next, the algorithm to design a specialized hardware which processes the real‐time video image is implemented and finally, an application of this specialized hardware for medical use is described.
Cite this paper
Kojima, S., Ebisawa, Y., & Miyakawa, T. (1994). Fast morphology hardware using large‐sized structuring element. Systems and Computers in Japan, 25(6), 41–49. https://doi.org/10.1002/scj.4690250605
Kojima, Shoji, et al. “Fast morphology hardware using large‐sized structuring element.” Systems and Computers in Japan, vol. 25, no. 6, 1994, pp. 41–49, https://doi.org/10.1002/scj.4690250605.
Kojima, Shoji, Yoshinobu Ebisawa, and T. Miyakawa. 1994. “Fast morphology hardware using large‐sized structuring element.” Systems and Computers in Japan 25 (6): 41–49. https://doi.org/10.1002/scj.4690250605.
Kojima, S., Ebisawa, Y. and Miyakawa, T. (1994) ‘Fast morphology hardware using large‐sized structuring element’, Systems and Computers in Japan, 25(6), pp. 41–49. Available at: https://doi.org/10.1002/scj.4690250605.
@article{kojima1994fast,
title = {{Fast morphology hardware using large‐sized structuring element}},
author = {Kojima, Shoji and Ebisawa, Yoshinobu and Miyakawa, T.},
journal = {Systems and Computers in Japan},
volume = {25},
number = {6},
pages = {41--49},
year = {1994},
doi = {10.1002/scj.4690250605}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.