<p>Top to bottom: results of SRC, mSRC (using 15 representations), <i>K</i>-NN, and SVM. Left to right: pairwise texture classification of D21 and D28, D21 and D77, and D28 and D77.</p
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
This paper addresses the problem of texture discrimination in range images. The range data is transf...
<p>Top row: classification of textures D21 and D28. Middle row: classification of textures D21 and D...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
Three different approaches to colour texture analysis are tested on the classification of images fro...
One of the first methods for analyzing the texture of an image was proposed in 1979 by Haralick, who...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
Texture image classification is very useful in many domains. It has been tried using statistical, sp...
<p>Three classifiers, Gaussian Naive Bayes (GNB) in panel (a), SVM in panel (b) and sparse MRF in pa...
Includes bibliographical references (leaves 34-35)Texture classification has been widely studied ove...
Abstract:- Based on the experiments, a comparative study has been made regarding certain methods of ...
Abstract:- In this paper a comparative study has been made regarding certain methods of image proces...
Smooth texture, a critical feature in skin tumor diagnosis, is analyzed using three texture measurem...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
This paper addresses the problem of texture discrimination in range images. The range data is transf...
<p>Top row: classification of textures D21 and D28. Middle row: classification of textures D21 and D...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
Three different approaches to colour texture analysis are tested on the classification of images fro...
One of the first methods for analyzing the texture of an image was proposed in 1979 by Haralick, who...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
Texture image classification is very useful in many domains. It has been tried using statistical, sp...
<p>Three classifiers, Gaussian Naive Bayes (GNB) in panel (a), SVM in panel (b) and sparse MRF in pa...
Includes bibliographical references (leaves 34-35)Texture classification has been widely studied ove...
Abstract:- Based on the experiments, a comparative study has been made regarding certain methods of ...
Abstract:- In this paper a comparative study has been made regarding certain methods of image proces...
Smooth texture, a critical feature in skin tumor diagnosis, is analyzed using three texture measurem...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
<p>Comparison of retrieval performance of different types of metrics for texture image retrieval usi...
This paper addresses the problem of texture discrimination in range images. The range data is transf...
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