Fig 4 - uploaded by Manesh Thankappan
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Comparison of different local measures for retrieving 10 relevant images from 4 different levels. a) LBP ri 8,1 b) LBP riu2 8,1 c) LBP ri 16,2 d) LBP riu2 16,2 e) LGS(8,1) f) Spatial Histogram Of MOD-LBP(8,1) using 18 angular regions g) Spatial Moments of MODLBP(8,1) using 18 angular regions h) Reweighting the moment features 5 times. The Fig. 5 (a),(b), (c) ,(d), show the most similar 10 images and most dissimilar 10 images correspond to a randomly chosen image from each level based on histogram of MOD-LBP computed spatially on 4 angular regions.
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The medical imaging technology plays a crucial role in visualization and analysis of the human body with unprecedented accuracy and resolution. Analyzing the multimodal for disease-specific information across patients can reveal important similarities between patients, hence their underlying diseases and potential treatments. Classification of MR b...
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... images from each levels as shown in Fig 3 are randomly chosen as query image and accuracy of the retrieval is calculated based on the first 10 mostly rele- vant images retrieved. The performance of the retrieval is compared with different local measures and the result is shown in Fig 4. It is observed that LGS performs better compared to LBP (8,1) and LBP (16,2) and moment features of MOD-LBP. But spatial histogram of MOD-LBP outperforms LGS. ...
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