Skin recognition is used in many applications ranging from algorithms for face detection, hand gesture analysis, and to objectionable image filtering. In this work a skin recognition system was developed and tested. While many skin segmentation algorithms relay on skin color, our work relies on both skin color and texture features (features derives from the GLCM) to give a better and more effic...

Face retrieval has received much attention in recent years. This paper comparatively studied five feature description methods for face representation, including Local Binary Pattern (LBP), Gabor feature, Gray Level Co-occurrence Matrices (GLCM), Pyramid Histogram of Oriented Gradient (PHOG) and Curvelet Transform (CT). The problem of large dimensionalities of the extracted features was addresse...

Remote sensing is a field that has wide use, leading to the fact that it has a great importance. Therefore performance of selected features plays a great role. In order to gain some perspective on useful textural features, we have brought together state-of-art textural features in recent literature, yet to be applied in remote sensing field, as well as presenting a comparison with traditional o...

This paper presents a preliminary study for mapping sea ice patterns (texture) with 100-m ERS-1 synthetic aperture radar (SAR) imagery. We used gray-level co-occurrence matrices (GLCM) to quantitatively evaluate textural parameters and representations and to determine which parameter values and representations are best for mapping sea ice texture. We conducted experiments on the quantization le...

The Applications of Pattern recognition like wood classification, stone and rock classification problems, the major usage techniques ate different texture classification techniques. Generally most of the problems used statistical approach for texture analysis and texture classification. Gray Level Co-occurrence Matrices (GLCM) approach is particularly applied in texture analysis and texture cla...

This Study proposes the approach for crop classification using Grey Level Co-occurrence Matrix feature of Synthetic Aperture Radar (SAR) images. The method utilizes SAR Images acquired by Sentinel 1A Data and extract textural features GLCM. In this study, we investigate potential (GLCM)-based texture information horticulture with images in Kharif cloud weather condition. A study on satellite im...

COVID-19 is an ongoing pandemic, and also known by the name coronavirus. It was originally discovered in Wuhan, China, December, 2019. Since then, it has been increasing rapidly worldwide. at such a rapid pace, testing equipment limited availability. Also, this disease spreads very quickly, so better if detected earlier, order that can be stopped from spreading. Therefore, importance of early d...

In coherent optical communication systems, where multiple modulation formats are mixed and variable, the correct identification of signal provides foundation for subsequent performance improvement using digital algorithms. A format (MFI) scheme based on constellation diagrams support vector machine (SVM) is proposed. Firstly, divided by fractal dimension weighted linear least squares (WLS-FD) a...