Paper
7 August 2001 Medical image retrieval based on mutual correlation method
Shunshan Li, Tian-ge Zhuang, Hui Chen
Author Affiliations +
Abstract
With the development of PACS system more and more medical images are stored in the database, retrieving images in such database becomes more and more difficult. that is why we introduce the way based on image content. In this paper the method of retrieving medical image is presented, which is based on both histogram and correlation algorithm. Histogram algorithm has characteristics of rotation invariance, position invariance and scale invariance. However, the limitation of histogram algorithm is obvious, it can't represent the spatial information of image. Hence, we introduce algorithm of correlation into our method to solve this problem. The method presented in this paper has characteristics of exactness and quickness in retrieving medical images, and which can retrieve image directly without processing image through image segmentation. So it can be realized easily. There was no any relative report about using this method to retrieve images before. Our work shows the method of correlation has a better performance in retrieving medical images, therefore it is a promising approach in this field.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shunshan Li, Tian-ge Zhuang, and Hui Chen "Medical image retrieval based on mutual correlation method", Proc. SPIE 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation, (7 August 2001); https://doi.org/10.1117/12.435507
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Cited by 1 scholarly publication.
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KEYWORDS
Medical imaging

Image retrieval

Databases

Image segmentation

Computer vision technology

Image processing

Digital image correlation

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