增加VAVG 移除分类

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

@@ -66,6 +66,15 @@ public class TempleConfig {
     private int featureNub = 4;//聚类特征数量
     private Knn knn;//KNN分类器
     private int knnNub = 3;//KNN投票人数
+    private Matrix backGround;//背景
+
+    public Matrix getBackGround() {
+        return backGround;
+    }
+
+    public void setBackGround(Matrix backGround) {
+        this.backGround = backGround;
+    }
 
     public Knn getKnn() {
         return knn;

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

@@ -19,6 +19,10 @@ public class VectorK {
         return matrixK;
     }
 
+    public void removeType(int typeId) {
+        matrixK.remove(typeId);
+    }
+
     public void insertMatrix(int type, Matrix matrix) throws Exception {
         if (matrix.isRowVector() && matrix.getY() == length) {
             if (matrixMap.containsKey(type)) {

src/test/java/coverTest/FoodTest.java

@@ -43,13 +43,12 @@ public class FoodTest {
     public static void test() throws Exception {
         TempleConfig templeConfig = new TempleConfig();
         Picture picture = new Picture();
-        templeConfig.isShowLog(true);
+        templeConfig.isShowLog(true);//是否打印日志
-        templeConfig.setMaxRain(320);
+        templeConfig.setMaxRain(320);//切割阈值
         templeConfig.setFeatureNub(3);
         templeConfig.sethTh(0.88);
         templeConfig.setPoolSize(2);
-        templeConfig.setSensoryNerveNub(3);
+        //templeConfig.setRegionNub(100);
-        templeConfig.setStudyPoint(0.01);
         templeConfig.setClassifier(Classifier.VAvg);
         templeConfig.init(StudyPattern.Cover_Pattern, true, 400, 400, 3);
         Operation operation = new Operation(templeConfig);