Paper
20 November 2019 Study on processing of infrared thermogram of ankle soft tissue injury with LDA based on DCT transform
Shuwang Chen, Chengwei Zhao, Shengbiao An
Author Affiliations +
Abstract
The current,infrared thermal imaging technology provides a new method for the detection of various soft tissue parts in human body, but the research on soft tissue lesion of ankle joint by infrared thermography is not very extensive. With the maturity of this technology and the improvement of pattern recognition and digital image processing algorithm, the analysis of infrared thermal image has been improved. The principle of infrared thermal imaging technology is to display the infrared signal sent by human body in the form of temperature distribution, and the change of temperature will cause the pathological changes of human tissue. In this paper, by taking a large number of infrared thermal images under appropriate conditions, the infrared thermal image is preprocessed by de-noising and other operations, and the temperature information on the infrared thermal image is converted into data sequence information. Since the discrete cosine transform (DCT) has a relatively mature fast algorithm, it can effectively solve the problem of large computational complexity. Therefore, the discrete cosine transform is used to reduce the dimensionality of the infrared thermal image. Then, using the feature extraction process of Fisher linear discriminant analysis (LDA) algorithm, we seek a best projection direction to compress high-dimensional features into one-dimensional features, and then use Fisher's linear discriminant analysis algorithm to obtain the discriminant function after the projection of the training samples. The experimental results determine whether the test sample belongs to the damaged ankle soft tissue or not. Then, the soft tissue damage site of the sample is judged.
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Shuwang Chen, Chengwei Zhao, and Shengbiao An "Study on processing of infrared thermogram of ankle soft tissue injury with LDA based on DCT transform", Proc. SPIE 11190, Optics in Health Care and Biomedical Optics IX, 111902I (20 November 2019); https://doi.org/10.1117/12.2537506
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KEYWORDS
Thermography

Infrared radiation

Infrared imaging

Tissues

Injuries

Infrared technology

Statistical analysis

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