EKSTRAKSI KOMUNIKASI NONVERBAL MENGGUNAKAN GRAY LEVEL CO-OCCURRENCE
نویسندگان
چکیده
منابع مشابه
Rock 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...
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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...
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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 ...
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ژورنال
عنوان ژورنال: Jurnal Ilmiah Informatika Komputer
سال: 2020
ISSN: 2089-8045,0853-8638
DOI: 10.35760/ik.2020.v25i3.3080