IMAGE PROCESSING METHOD AND IMAGE PROCESSOR
PROBLEM TO BE SOLVED: To provide an image processing method capable of generating an image filter in which the degree of saliency in an attention area changes in a desired direction and the impression of an original image after the application of the image filter does not substantially change.SOLUTI...
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Sprache: | eng ; jpn |
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Zusammenfassung: | PROBLEM TO BE SOLVED: To provide an image processing method capable of generating an image filter in which the degree of saliency in an attention area changes in a desired direction and the impression of an original image after the application of the image filter does not substantially change.SOLUTION: In the image processing method according to this invention, a computer device executes original image acquisition processing for acquiring an original image (S1), attention area setting processing for making an operator set an attention area (S2), and image filter search processing for generating an image filter to be applied to the original image by solving an optimization problem of the image filter composed of a combination of basic filters to be applied to the attention area in the original image with a genetic algorithm (S3). In the image filter search processing (S3), the computer device calculates adaptability to be used to evaluate the image filter on the basis of saliency adaptability obtained by evaluating the statistic of adaptability in the attention area in the original image after image filter application, and similarity adaptability obtained by evaluating the similarity of the original image after applying the original image and the image filter.SELECTED DRAWING: Figure 1
【課題】注目領域内の顕著度が所望する方向に変化し,かつ,画像フィルタ適用後の原画像の印象が大幅に変わることがない画像フィルタを生成できる画像処理方法を提供する。【解決手段】本発明に係る画像処理方法において,コンピュータ装置は,原画像を取得する原画像取得処理(S1),注目領域をオペレータに設定させる注目領域設定処理(S2),原画像内の局所領域に適用する基本フィルタの組合せで構成する画像フィルタの最適化問題を遺伝的アルゴリズムにより解くことで,原画像に適用する画像フィルタを生成する画像フィルタ探索処理(S3)を実行し,画像フィルタ探索処理(S3)において,コンピュータ装置は,画像フィルタの評価に用いる適応度を,画像フィルタ適用後の原画像における注目領域内の顕著度の統計量を評価した顕著性適応度,および,原画像と画像フィルタ適用後の原画像の類似性を評価した類似性適応度に基づき算出する。【選択図】図1 |
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