We have evaluated a method for synthesizing mammograms by comparing the texture of clinical and synthetic mammograms. The synthesis algorithm is based upon simulations of breast tissue and the mammographic imaging process. Mammogram texture was synthesized by projections of simulated adipose tissue compartments. It was hypothesized that the synthetic and clinical texture have similar properties...

Dynamic texture description has been studied extensively due to its wide applications in the field of computer vision. Local binary pattern (LBP) and various variants account for a large part dynamic methods because advantages, such as good discriminability low computational complexity. However, many LBP-based directly extract feature from pixel intensities only use proportion pixels local neig...

Camouflaged object detection is a challenging task that aims to identify objects having similar texture the surroundings. This paper presents amplify subtle difference between camouflaged and background for by formulating multiple texture-aware refinement modules learn features in deep convolutional neural network. The module computes biased co-variance matrices of feature responses extract inf...

Current retrieval methods in geographic image databases use only pixel-by-pixel spectral information. Texture is an important property of geographical images that can improve retrieval eeectiveness and eeciency. In this paper, we present a content-based retrieval approach that utilizes the texture features of geographical images. Various texture features are extracted using wavelet transforms. ...

The present paper derived shape features on textons and texture orientation for rotation invariant stone texture classification of 2D images. To overcome the sensitive problems and to derive rotational invariant features on textons the present research represented textons on texture orientation matrix by reducing grey level range using a fuzzy logic. The proposed Texture orientation matrix (TOM...