Grain-shaped control system by using the SPCA

Seiki Yoshimori, Yasue Mitsukura, Shigeru Omatsu, Kohji Kita

研究成果: Conference article査読


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.

ジャーナルLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2773 PART 1
出版ステータスPublished - 2003
イベント7th International Conference, KES 2003 - Oxford, United Kingdom
継続期間: 2003 9月 32003 9月 5

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)


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