In the previous chapter, an integrated approach for texture classification using ILCLBP-T is proposed. In continuation to that, the present chapter derived a new co-occurrence matrix based on textons and texture orientation for rotation invariant texture classification of 2D images. The new co-occurrence matrix is called as Texton and Texture Orientation Co-occurrence Matrix (T&TO-CM). The Co-o...

In this paper a comparative study has been made regarding certain methods of image processing by the texture characteristic, to find the optimum method for detecting color texture. The study is based on the experiments. There are two main points: the quality of the detection and the response time. For the experiments have been used the co-occurrence matrix and the iso-segments matrix of the gra...

This paper presents a methodology for identification and classification of bulk sugary food objects. Comprising of south Indian typical sweets like Applecake, Bundeladu, Burfi, Doodhpeda, Jamun, Jilebi, Kalakand Ladakiladu, Mysorepak and Suraliholige. When these sweets arranged for display at the shops exhibit different patterns and hence texture is the basis used for recognition. The texture f...

background: breast cancer is one of the most common cancers in the world, particularly in iran. there are many genomic and molecular factors that cause the occurrence of breast cancer. many markers are associated with tumor invasiveness. matrix metalloproteinase includes a family of zinc-dependent endopeptidases that degrade various components of the extracellular matrix and basement membrane. ...

We prove that Ochiai similarity of the co-occurrence matrix is equal to cosine similarity in the underlying occurrence matrix. Neither the cosine nor the Pearson correlation should be used for the normalization of co-occurrence matrices because the similarity is then normalized twice, and therefore over-estimated; the Ochiai coefficient can be used instead. Results are shown using a small matri...

Image processing technology has been successfully applied to fault detection of copper flotation processes, and the key to realize image processing based fault condition recognition is accurately extracting froth image features closely related to key production indices. To extract texture features of froth images in real-time, a multi-scale gray level co-occurrence matrix (M-GLCM) method is pro...