Grain-shaped control system by using the SPCA

Seiki Yoshimori, Yasue Mitsukura, Shigeru Omatsu, Kohji Kita

Research output: Contribution to journalConference articlepeer-review


Recently in the world, noise removable method for images are investigated. This is because it increased to change analog data into the digital style and to use it by the digitization in recent years. Furthermore, when it is changed into the digital style from the analog, it is a cause that noise (impulse element) is made. For this problem, the edge of the image is detected by using simple principal component analysis (SPCA) in this paper. Furthermore, the method to get rid of the noise of the part except for the edge is proposed. It is possible that it gets rid of noise without breaking down the edge of the original image by using the proposed method. Finally in this paper, in order to show the effectiveness of the proposed method, simulations are done for the comparing the conventional methods.

Original languageEnglish
Pages (from-to)1142-1148
Number of pages7
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2773 PART 1
Publication statusPublished - 2003
Externally publishedYes
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 2003 Sept 32003 Sept 5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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