增加选区缩小参数

src/main/java/org/wlld/imageRecognition/Convolution.java

@@ -345,7 +345,7 @@ public class Convolution extends Frequency {
         return myMatrix;
     }
 
-    protected Matrix late(Matrix matrix, int size) throws Exception {//迟化处理
+    protected Matrix late(Matrix matrix, int size) throws Exception {//池化处理
         int xn = matrix.getX();
         int yn = matrix.getY();
         int x = xn / size;//求导后矩阵的行数

src/main/java/org/wlld/imageRecognition/Operation.java

@@ -818,6 +818,49 @@ public class Operation {//进行计算
         return id;
     }
 
+    public double isCover(ThreeChannelMatrix threeChannelMatrix) throws Exception {//固定背景覆盖率计算
+        ThreeChannelMatrix backGround = templeConfig.getBackGround();
+        double minCover = templeConfig.getMinCover();
+        double maxCover = templeConfig.getMaxCover();
+        double errorBack = templeConfig.getBackGroundError();
+        if (backGround != null && maxCover > minCover && errorBack >= 0 && errorBack <= 255) {
+            Matrix matrixR = threeChannelMatrix.getMatrixR();
+            Matrix matrixG = threeChannelMatrix.getMatrixG();
+            Matrix matrixB = threeChannelMatrix.getMatrixB();
+            Matrix matrixRBg = backGround.getMatrixR();
+            Matrix matrixGBg = backGround.getMatrixG();
+            Matrix matrixBBg = backGround.getMatrixB();
+            int x = matrixR.getX();
+            int y = matrixR.getY();
+            double size = x * y;
+            double cover = 0;
+            if (x == matrixRBg.getX() && y == matrixRBg.getY()) {
+                for (int i = 0; i < x; i++) {
+                    for (int j = 0; j < y; j++) {
+                        double rB = matrixRBg.getNumber(i, j);
+                        double gB = matrixGBg.getNumber(i, j);
+                        double bB = matrixBBg.getNumber(i, j);
+                        double r = matrixR.getNumber(i, j);
+                        double g = matrixG.getNumber(i, j);
+                        double b = matrixB.getNumber(i, j);
+                        double subR = Math.abs(r - rB);
+                        double subG = Math.abs(g - gB);
+                        double subB = Math.abs(b - bB);
+                        double error = (subR + subB + subG) / 3;
+                        if (error > errorBack) {
+                            cover++;
+                        }
+                    }
+                }
+                return cover / size;
+            } else {
+                throw new Exception("Temple matrix is different");
+            }
+        } else {
+            throw new Exception("value is null");
+        }
+    }
+
     private List<Double> sub(Matrix matrix) throws Exception {//
         List<Double> list = new ArrayList<>();
         int x = matrix.getX() - 1;

src/main/java/org/wlld/imageRecognition/TempleConfig.java

@@ -68,6 +68,42 @@ public class TempleConfig {
     private int knnNub = 7;//KNN投票人数
     private int times = 10;//聚类循环次数
     private int shrink = 60;//收缩参数
+    private ThreeChannelMatrix backGround;//背景面板
+    private double minCover;//覆盖下限
+    private double maxCover;//覆盖上限
+    private double backGroundError;//背景误差偏移量，0-255
+
+    public double getBackGroundError() {
+        return backGroundError;
+    }
+
+    public void setBackGroundError(double backGroundError) {
+        this.backGroundError = backGroundError;
+    }
+
+    public double getMinCover() {
+        return minCover;
+    }
+
+    public void setMinCover(double minCover) {
+        this.minCover = minCover;
+    }
+
+    public double getMaxCover() {
+        return maxCover;
+    }
+
+    public void setMaxCover(double maxCover) {
+        this.maxCover = maxCover;
+    }
+
+    public ThreeChannelMatrix getBackGround() {
+        return backGround;
+    }
+
+    public void setBackGround(ThreeChannelMatrix backGround) {
+        this.backGround = backGround;
+    }
 
     public int getShrink() {
         return shrink;