Texture features extraction based on GLCM for face retrieval system
نویسندگان
چکیده
منابع مشابه
Comparative Study on Content Based Image Retrieval Based on Color, Texture (GLCM & CCM) Features
With the rapid development of multimedia and network technology, people can access a large number of multimedia information. For people who want to make full use of multimedia information resources, the primary question is how to query the multimedia information of interest. Text query can be applied to multimedia information retrieval, but it has inherent deficiencies. One hand, text annotatio...
متن کاملNovel Method for Color Textures Features Extraction Based on GLCM
Texture is one of most popular features for image classification and retrieval. Forasmuch as grayscale textures provide enough information to solve many tasks, the color information was not utilized. But in the recent years, many researchers have begun to take color information into consideration. In the texture analysis field, many algorithms have been enhanced to process color textures and ne...
متن کاملTexture Based Image Retrieval Using GLCM and Image Sub-Block
This study proposed an approach to retrieve images based on texture features using GLCM and image subblocks. Each image is divided into three rows and three columns with equal sizes. Texture features are extracted based on GLCM (Gray Level Co-occurrence Matrix) using four statistical features that is contrast, homogeneity, energy and correlation. The features are calculated in four directions (...
متن کاملTexture Features for Content-Based Retrieval
Texture is an intuitive concept Every child knows that leopards have spots but tigers have stripes that curly hair looks di erent from straight hair etc In all these examples there are variations of intensity and color which form certain repeated patterns called visual texture The patterns can be the result of physical surface properties such as roughness or oriented strands which often have a ...
متن کاملColor Local Texture Features Based Face Recognition
For the purpose of face recognition (FR), the new color local texture features, i.e., color local Gabor wavelets (CLGWs) and color local binary pattern (CLBP), are being proposed. The proposed color local texture features are able to exploit the discriminative information derived from spatiochromatic texture patterns of different spectral channels within a certain local face region. This method...
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ژورنال
عنوان ژورنال: Periodicals of Engineering and Natural Sciences (PEN)
سال: 2019
ISSN: 2303-4521
DOI: 10.21533/pen.v7i3.787