Abstract: The pattern identification problems such as stone, rock categorization and wood recognition are used texture classification technique due to its valuable usage in it. Generally, texture analysis can be done one of the two ways i.e. statistical and structural approaches. More problems are occurred when working with statistical approaches in texture analysis for texture categorization. ...

The new sea surface wind direction from the X-band marine radar image is proposed in this study using a fast convergent gray-level co-occurrence matrix (FC-GLCM) algorithm. First, sampled directly without need for interpolation due to algorithm’s application of GLCM polar co-ordinate system, which reduces inaccuracy caused by transformation. An additional process then merge convergence method w...

The paper introduces an efficient method for detection and grading of Astrocytoma, a type of brain tumor in MR Brain Images. Gray Level Co-occurrence Matrix (GLCM) is applied to Image to get information like entropy, energy, contrast, correlation and ratio of brain tumor to the MR Image etc. These are used for creation of knowledge base. After training of ANN with input and target matrix, the A...

Image texture classification is widely used in many applications and received considerable attention during the past decades. Several efforts have been made for developing image texture classification algorithms, including the Gray Level Co-Occurrence Matrix (GLCM), Local Binary Patterns and several K-View based algorithms. These K-View based algorithms included are K-ViewTemplate algorithm (K-...

In our study we investigated the relationship between conventional morphometric indicators of nuclear size and shape (area and circularity) and the parameters of gray level co-occurrence matrix texture analysis (entropy, homogeneity, and angular second moment) in cells committed to apoptosis. A total of 432 lymphocyte nuclei images from the spleen germinal center light zones (cells in early sta...

The microstructure of protein networks in yogurts defines important physical properties of the yogurt and hereby partly its quality. Imaging this protein network using confocal scanning laser microscopy (CSLM) has shown good results, and CSLM has become a standard measuring technique for fermented dairy products. When studying such networks, hundreds of images can be obtained, and here image an...

Content Based Image Retrieval is one of the active research areas. With emerging technologies of multimedia ,communication and processing large volume of image database is used . Current approaches include the use of color, texture and shape information for CBIR. Texture feature is a kind of visual characteristic that does not rely on color and intensity and reflects the intrinsic phenomenon of...