Glaucoma is a disease that causes an abnormal increase in intraocular pressure and therefore permanent damage to the optic nerves. Early accurate diagnosis of disease, known as most "insidious" among eye diseases, important. In this study, glaucoma prediction application was performed from high-resolution fundus photographs taken open-source database. Correlation, energy, homogeneity, contrast ...

Nowadays, as the computational power increases, the role of automatic visual inspection becomes more important. Therefore, also visual quality control has gained in popularity. This paper presents an application of gray level co-occurrence matrix (GLCM) to texturebased similarity evaluation of rock images. Retrieval results were evaluated for two databases, one consisting of the whole images an...

Texture information plays an important role in image analysis. Although several descriptors have been proposed to extract and analyze texture, the development of automatic systems for image interpretation and object recognition is a difficult task due to the complex aspects of texture. Scale is an important information in texture analysis, since a same texture can be perceived as different text...

Grey Level Co-occurrence Matrices (GLCM) are one of the earliest techniques used for image texture analysis. In this paper we defined a new feature called trace extracted from the GLCM and its implications in texture analysis are discussed in the context of Content Based Image Retrieval (CBIR). The theoretical extension of GLCM to n-dimensional gray scale images are also discussed. The results ...

in this study, potential application of image texture analysis as a non-destructive method for automation and prediction of mechanical properties of carrot chips was investigated. samples were fried at different processing conditions and moisture content, colour parameters (i.e. l*, a*, b* and e) and mechanical properties (i.e. hardness and apparent modulus) were determined. hardness and appar...