October 2014
Intermediate to advanced
288 pages
6h 27m
Japanese
Content preview from 実践 機械学習システム
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10.2
画像の読み込みと表示
199
エフェクトのためのフィルタ処理
画像に何かしらのエフェクトをかけるために画像処理を用いることは、デジタル画像が登場した初
期の頃から研究されてきました。最近になってそのような技術が面白いアプリに使われ始めました。有
名なアプリで言うと、「インスタグラム（Instagram）」が挙げられるでしょう。
図10-7
ここでは画像処理を行うために伝統的な画像である「Lenna画像」を使います。図10-7の画像が
Lenna画像であり、本書のサポートページからダウンロードできます（画像処理を扱うwebサイトの多
くが用意していると思います）。
lenna = mh.imread('lenna.jpg', as_grey=True)
10.2.2
ソルト＆ペッパーノイズを加える
その気になれば、さらに画像に手を加えることができます。たとえば、スキャナーで読み込んだ時の
ノイズをシミュレーションするために、ソルト＆ペッパーノイズを加えることができます。元となる画
像と同じ幅と高さを持つ配列を生成し、その要素の約5％が
True
になるようにします。
200
10
章 コンピュータビジョン：パターン認識
salt = np.random.random(lenna.shape) > .975
pepper ...
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