Package edu.wpi.grip.generated.opencv_imgproc.enumeration

Enum HistCompMethodsEnum

    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description
      HISTCMP_BHATTACHARYYA
      Bhattacharyya distance (In fact, OpenCV computes Hellinger distance, which is related to Bhattacharyya coefficient.) \f[d(H_1,H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\f]
      HISTCMP_CHISQR
      Chi-Square \f[d(H_1,H_2) = \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)}\f]
      HISTCMP_CHISQR_ALT
      Alternative Chi-Square \f[d(H_1,H_2) = 2 * \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)+H_2(I)}\f] This alternative formula is regularly used for texture comparison.
      HISTCMP_CORREL
      Correlation \f[d(H_1,H_2) = \frac{\sum_I (H_1(I) - \bar{H_1}) (H_2(I) - \bar{H_2})}{\sqrt{\sum_I(H_1(I) - \bar{H_1})^2 \sum_I(H_2(I) - \bar{H_2})^2}}\f] where \f[\bar{H_k} = \frac{1}{N} \sum _J H_k(J)\f] and \f$N\f$ is a total number of histogram bins.
      HISTCMP_HELLINGER
      Synonym for HISTCMP_BHATTACHARYYA
      HISTCMP_INTERSECT
      Intersection \f[d(H_1,H_2) = \sum _I \min (H_1(I), H_2(I))\f]
      HISTCMP_KL_DIV
      Kullback-Leibler divergence \f[d(H_1,H_2) = \sum _I H_1(I) \log \left(\frac{H_1(I)}{H_2(I)}\right)\f]

    • Field Summary

      Fields 
      Modifier and Type Field Description
      int value  

    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static HistCompMethodsEnum valueOf​(java.lang.String name)
      Returns the enum constant of this type with the specified name.
      static HistCompMethodsEnum[] values()
      Returns an array containing the constants of this enum type, in the order they are declared.

      • Methods inherited from class java.lang.Enum

        clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

      • Methods inherited from class java.lang.Object

        getClass, notify, notifyAll, wait, wait, wait

    • Enum Constant Detail

      • HISTCMP_CORREL

        public static final HistCompMethodsEnum HISTCMP_CORREL
        Correlation \f[d(H_1,H_2) = \frac{\sum_I (H_1(I) - \bar{H_1}) (H_2(I) - \bar{H_2})}{\sqrt{\sum_I(H_1(I) - \bar{H_1})^2 \sum_I(H_2(I) - \bar{H_2})^2}}\f] where \f[\bar{H_k} = \frac{1}{N} \sum _J H_k(J)\f] and \f$N\f$ is a total number of histogram bins.

      • HISTCMP_CHISQR

        public static final HistCompMethodsEnum HISTCMP_CHISQR
        Chi-Square \f[d(H_1,H_2) = \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)}\f]

      • HISTCMP_INTERSECT

        public static final HistCompMethodsEnum HISTCMP_INTERSECT
        Intersection \f[d(H_1,H_2) = \sum _I \min (H_1(I), H_2(I))\f]

      • HISTCMP_BHATTACHARYYA

        public static final HistCompMethodsEnum HISTCMP_BHATTACHARYYA
        Bhattacharyya distance (In fact, OpenCV computes Hellinger distance, which is related to Bhattacharyya coefficient.) \f[d(H_1,H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\f]

      • HISTCMP_HELLINGER

        public static final HistCompMethodsEnum HISTCMP_HELLINGER
        Synonym for HISTCMP_BHATTACHARYYA

      • HISTCMP_CHISQR_ALT

        public static final HistCompMethodsEnum HISTCMP_CHISQR_ALT
        Alternative Chi-Square \f[d(H_1,H_2) = 2 * \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)+H_2(I)}\f] This alternative formula is regularly used for texture comparison. See e.g. @cite Puzicha1997

      • HISTCMP_KL_DIV

        public static final HistCompMethodsEnum HISTCMP_KL_DIV
        Kullback-Leibler divergence \f[d(H_1,H_2) = \sum _I H_1(I) \log \left(\frac{H_1(I)}{H_2(I)}\right)\f]

    • Field Detail

      • value

        public final int value

    • Method Detail

      • values

        public static HistCompMethodsEnum[] values()
        Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows: 
        for (HistCompMethodsEnum c : HistCompMethodsEnum.values())
    System.out.println(c);
        Returns:
        an array containing the constants of this enum type, in the order they are declared

      • valueOf

        public static HistCompMethodsEnum valueOf​(java.lang.String name)
        Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
        Parameters:
        name - the name of the enum constant to be returned.
        Returns:
        the enum constant with the specified name
        Throws:
        java.lang.IllegalArgumentException - if this enum type has no constant with the specified name
        java.lang.NullPointerException - if the argument is null