Abstract
The image can be classified using various feature extraction techniques. Problem defined material class using properties of texture. The novel approach of this paper is to extract features of an image using the Gabor filter. Authors defined the method which combines Color, Luminance and Texture features. Texture features extracted by calculating the phase and magnitude of the Gabor Filtered image. The classification is carried out using KNN classifier with four different distance measures. Compare the statistics of the result under different distances types used in experiments.
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Sapkale, S.S., Patil, M.P. (2021). Texture Based Material Classification Using Gabor Filter. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_6
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DOI: https://doi.org/10.1007/978-981-16-0507-9_6
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