Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis
نویسندگان
چکیده
منابع مشابه
Performance Analysis of Gray Level Co- Occurrence Matrix Texture Features for Glaucoma Diagnosis
Glaucoma is a multifactorial optic neuropathy disease characterized by elevated Intra Ocular Pressure (IOP). As the visual loss caused by the disease is irreversible, early detection is essential. Fundus images are used as input and it is preprocessed using histogram equalization. First order features from histogram and second order features from Gray Level Co-occurrence Matrix (GLCM) are extra...
متن کاملRock Texture Retrieval Using Gray Level Co-occurrence Matrix
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...
متن کاملFeature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence Matrix
In this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first no...
متن کاملMulti-scale gray level co-occurrence matrices for texture description
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...
متن کاملGray-Level Co-occurrence Matrix Implementation based on Edge Detection Information for Surface Texture Analysis
Texture is an important property used in classifying the regions of interests in an image. Literally, it is defined as the uniformity of a substance or a surface. Technically, it gives us the information about the spatial arrangement of structures in an image. One of the earliest methods used for texture feature extraction is the Gray-Level Co-occurrence Matrix (GLCM) which contains second orde...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Cognitive Computing in Engineering
سال: 2021
ISSN: 2666-3074
DOI: 10.1016/j.ijcce.2021.05.001