講演抄録/キーワード |
講演名 |
2009-01-20 17:35
Speeded Up Feature Extraction for CT Image Based on Integral Image Technique Shao-Hu Peng・Hyun-Soo Kim・○Deok-Hwan Kim(Inha Univ.) MI2008-130 |
抄録 |
(和) |
As a classic texture feature for image classification, the SGLDM is widely employed in medical image analysis. However, the complicated computation to extract texture features using SGLDM is an inherent problem of its application. Reducing the gray level of the image can partially solve this problem whereas significant texture information is lost. In this paper, we propose to apply the integral image technique so as to speed up the texture feature extraction. Experimental results show that the proposed method can extract identical features as the original algorithm whereas the extraction time of the proposed method is only 0.0822% of that of the original algorithm. |
(英) |
As a classic texture feature for image classification, the SGLDM is widely employed in medical image analysis. However, the complicated computation to extract texture features using SGLDM is an inherent problem of its application. Reducing the gray level of the image can partially solve this problem whereas significant texture information is lost. In this paper, we propose to apply the integral image technique so as to speed up the texture feature extraction. Experimental results show that the proposed method can extract identical features as the original algorithm whereas the extraction time of the proposed method is only 0.0822% of that of the original algorithm. |
キーワード |
(和) |
texture feature / SGLDM / integral image / medical image / CT Image / / / |
(英) |
texture feature / SGLDM / integral image / medical image / CT Image / / / |
文献情報 |
信学技報, vol. 108, no. 385, MI2008-130, pp. 319-324, 2009年1月. |
資料番号 |
MI2008-130 |
発行日 |
2009-01-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
MI2008-130 |