Liming Tang

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In this paper, we first present a hierarchical (BV,G p ,L 2) variational decomposition model and then use it to achieve multiscale texture extraction which offers a hierarchical, separated representation of image texture in different scales. The starting point is the use of the variational (BV,G p ,L 2) decomposition; a given image f∈L 2(Ω) is decomposed(More)
Leaf vein extraction is a key feature for plant recognition. An efficient leaf vein extraction method is proposed in this paper by Bi-dimensional Empirical Mode Decomposition with Gray-scale Morphology Processing (BEMD-GMP). The raw image transforms gray image firstly, the Intrinsic Mode Functions (IMF) component of the gray image is decomposed by(More)
In this paper, we propose a phase field variational model with arctangent regularization for saliency detection. The classical Cahn-Hilliard model is used to extract features in complex image domain with highly anisotropic interfacial energy. Various visual attention features can be detected by minimizing the energy functional. The processing of saliency(More)
In order to achieve a mutiscale representation and texture extraction for textured image, a hierarchical (BV, Gp, L ) decomposition model is proposed in this paper. We firstly introduce the proposed model which is obtained by replacing the fixed scale parameter of the original (BV, Gp, L 2 ) decomposition with a varying sequence. And then, the existence and(More)
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