This paper describes a novel system for real-time video texture analysis. The system utilizes hardware to extract 2-order statistical features from video frames. These features are based on the Gray Level Co-occurrence Matrix (GLCM) and describe the textural content of the video frames. They can be used in a variety of video analysis and pattern recognition applications, such as remote sensing,...

The purpose of the present text is to present the theory and techniques behind the Gray Level Coocurrence Matrix (GLCM) method, and the stateof-the-art of the field, as applied to two dimensional images. It does not present a survey of practical results. 1 Gray Level Coocurrence Matrices In statistical texture analysis, texture features are computed from the statistical distribution of observed...

In this study, an algorithm is proposed to determine the duration in a rice crop cycle based on texture analysis. During an observation period in 2013, daily images were acquired from a still camera installed at a paddy field. Given a set of time-series images, the texture analysis is used to classify different stages of the rice growing. Regarding the hypothesis, the rice crop cycle can be sep...

Alzheimer’s disease (AD) is an irreversible ailment. This ailment causes rapid loss of memory and behavioral changes. Recently, this disorder very common among the elderly. Although there no specific treatment for disorder, its diagnosis aids in delaying spread disease. Therefore, past few years, automatic recognition AD using image processing techniques has achieved much attraction. In researc...

Defects in coffee beans can significantly affect the quality of production so that defects cause a decreasing level production. The purpose this study is to implement GLCM (gray-level co-occurrence matrix) and K-NN (k-nearest neighbor) method on web-based program provided website detect bean defects. This uses algorithm extract features images classify defect beans. system development was built...

OBJECTIVE To evaluate texture data of the torn supraspinatus tendon (SST) on preoperative T2-weighted magnetic resonance arthrography (MRA) using the gray-level co-occurrence matrix (GLCM) for prediction of post-operative tendon state. MATERIALS AND METHODS Fifty patients who underwent arthroscopic rotator cuff repair for full-thickness tears of the SST were included in this retrospective stu...

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 ...