Journal
Texture Characterization based on Grey-Level Co-occurrence Matrix
| Identifier | --agebejesrh-175 |
|---|---|
| Penulis / Pengarang | A. Gebejes, R. Huertas |
| Kata Kunci | Image Processing Grey-Level Cooccurrence Matrix |
| Tanggal Publikasi | 25 Mar 2015 |
| Bahasa | Bahasa Indonesia |
| Abstrak / Deskripsi | Texture, along with color, is one of the most important characteristics of a material defining the appearance of its surface. Different approaches to texture characterization can be considered. In this work texture is analyzed through second order statistical measurements based on the Grey-Level Cooccurrence Matrix proposed by Haralick. By this method is possible to compute, among others, 5 features which are intended to describe texture: Contrast, Homogeneity, Dissimilarity, Energy and Entropy. The aim of this paper is to analyze the dependency of the features with the displacement considered for their computation and explore the possibility of features invariant under changes of the distance between the sample and observation position. |
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| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 |
Texture Characterization .pdf
Texture, along with color, is one of the most important characteristics of a material defining the appearance…
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