各バンドの各ピクセルの周囲のグレイレベル同時発生行列からテクスチャ指標を計算します。GLCM は、画像内で異なるピクセル輝度値(グレースケール)の組み合わせがどのくらいの頻度で発生するかをまとめた表です。値 X のピクセルが値 Y のピクセルの隣に特定の方向と距離で配置されている回数をカウントし、この集計から統計情報を導出します。
詳しくは、Haralick らの論文「Textural Features for Image Classification」(https://doi.org/10.1109/TSMC.1973.4309314)と、Conners らの論文「Segmentation of a high-resolution urban scene using texture operators」(https://sdoi.org/10.1016/0734-189X(84)90197-X)をご覧ください。
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-07-26 UTC。"],[],["This content describes the computation of texture metrics using the Gray Level Co-occurrence Matrix (GLCM). It calculates 18 metrics, including Angular Second Moment, Contrast, Correlation, and Entropy, among others. The GLCM tabulates pixel brightness combinations within an image, considering direction and distance. Input images must be integer-valued. The `Image.glcmTexture` function takes `size`, `kernel` (pixel offsets), and `average` (directional averaging) as parameters. Output is 18 bands per input band, either averaged or per directional pair in the kernel.\n"]]