Speeded Up Feature Extraction for CT Image Based on Integral Image Technique(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2009-01-12

著者

• Kim Hyun-soo

  Dept Of Electronic Engineering Inha University

• Peng Shao-hu

  Dept Of Electronic Engineering Inha University

• Kim Deok‐hwan

  Inha Univ. Incheon Kor

• Kim Deok-Hwan

  Dept of Electronic Engineering, Inha University

関連論文

• Speeded Up Feature Extraction for CT Image Based on Integral Image Technique(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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