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Rotation and gray-scale-invariant texture analysis using radon and differential radon transforms based hidden Markov models

Rotation and gray-scale-invariant texture analysis using radon and differential radon transforms based hidden Markov models

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© The Institution of Engineering and Technology
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This study carries out rotation and gray-scale-invariant texture analysis of the textures in Brodatz album. A radon and differential radon transform based technique has been proposed to extract the features of the different textures at different orientations. These features have been used to train one-dimensional hidden Markov models – one for each texture. Testing and classification was done using percentage of correct classification (PCC) as figure of merit. The best percentage achieved was 99.9%.

Inspec keywords: hidden Markov models; Radon transforms; image classification; image texture; feature extraction; image colour analysis

Other keywords: image classification; differential radon transforms; hidden Markov models; feature extraction; Brodatz album; gray-scale-invariant texture analysis

Subjects: Markov processes; Optical, image and video signal processing; Integral transforms; Integral transforms; Computer vision and image processing techniques; Markov processes

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