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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Kernel (image processing) ： ウィキペディア英語版 Kernel (image processing) In image processing, a kernel, convolution matrix, or mask is a small matrix useful for blurring, sharpening, embossing, edge-detection, and more. This is accomplished by means of convolution between a kernel and an image. == Details == Depending on the element values, a kernel can cause a wide range of effects. | File:Vd-Orig.png |- | rowspan="3" | Edge detection | align="center" | $$ \begin \ \ 1 & 0 & -1 \\ \ \ 0 & 0 & \ \ 0 \\ -1 & 0 & \ \ 1 \end | File:Vd-Edge1.png |- | align="center" | $$ \begin 0 & \ \ 1 & 0 \\ 1 & -4 & 1 \\ 0 & \ \ 1 & 0 \end | File:Vd-Edge2.png |- | align="center" | $$ \begin -1 & -1 & -1 \\ -1 & \ \ 8 & -1 \\ -1 & -1 & -1 \end | File:Vd-Edge3.png |- | Sharpen | align="center" | $$ \begin \ \ 0 & -1 & \ \ 0 \\ -1 & \ \ 5 & -1 \\ \ \ 0 & -1 & \ \ 0 \end | File:Vd-Sharp.png |- | Box blur (normalized) | align="center" | $$ \frac \begin 1 & 1 & 1 \\ 1 & 1 & 1 \\ 1 & 1 & 1 \end | File:Vd-Blur2.png |- | Gaussian blur (approximation) | align="center" | $$ \frac \begin 1 & 2 & 1 \\ 2 & 4 & 2 \\ 1 & 2 & 1 \end | File:Vd-Blur1.png |- | 5×5 Unsharp (with no image mask) | align="center" | $$ \frac \begin 1 & 4 & \ \ 6 & 4 & 1 \\ 4 & 16 & \ \ 24 & 16 & 4 \\ 6 & 24 & -476 & 24 & 6 \\ 4 & 16 & \ \ 24 & 16 & 4 \\ 1 & 4 & \ \ 6 & 4 & 1 \end | |- |} The above are just a few examples of effects achievable by convolving kernels and images. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Kernel (image processing)」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.