回答編集履歴
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修正
test
CHANGED
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@@ -1,10 +1,20 @@
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```ここに言語を入力
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public class MatchingDemo {
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private Mat img;
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private Mat templ;
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private Mat result;
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public MatchingDemo() {
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}
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// public void run(String inFile, String templateFile, String outFile, int match_method) {
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@@ -12,19 +22,71 @@
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img =
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Mat img = Highgui.imread(inFile);
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templ = new Mat(templateFile.getHeight(), templateFile.getWidth(), CvType.CV_8UC1);
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Utils.bitmapToMat(inFile, img);
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Mat templ = Highgui.imread(templateFile);
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// Mat img = Highgui.imread(inFile);
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//結果を作成
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int result_cols = img.cols() - templ.cols() + 1;
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int result_rows = img.rows() - templ.rows() + 1;
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result = new Mat(result_rows, result_cols, CvType.CV_32FC1);
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// / Do the Matching and Normalize
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Imgproc.matchTemplate(img, templ, result, match_method);
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Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
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//閾値が最も高いものを選ぶ
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Core.MinMaxLocResult mmr = Core.minMaxLoc(result);
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//マッチング時の最大値と最小値を返す
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Point matchLoc;
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if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
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matchLoc = mmr.minLoc;
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} else {
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matchLoc = mmr.maxLoc;
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}
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//マッチしたところを囲む
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Core.rectangle(img, matchLoc, new Point(matchLoc.x + templ.cols(),
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matchLoc.y + templ.rows()), new Scalar(0, 255, 0));
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// 結果を保存
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System.out.println("Writing "+ outFile);
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Highgui.imwrite(outFile, img);
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}
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}
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