히스토그램 비교 방식 | 076923 Documentation

플래그	설명
`HISTCMP_CORREL`	상관관계 \(d(H_1,\ H_2) = \frac{\sum_I (H_1(I) - \bar{H_1}) (H_2(I) - \bar{H_2})}{\sqrt{\sum_I(H_1(I) - \bar{H_1})^2 \sum_I(H_2(I) - \bar{H_2})^2}}\) \(\bar{H_k} = \frac{1}{N} \sum _J H_k(J)\) \(N\)은 히스토그램 빈(Bin) 수
`HISTCMP_CHISQR`	카이제곱 검정 \(d(H_1,\ H_2) = \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)}\)
`HISTCMP_INTERSECT`	교집합 \(d(H_1,\ H_2) = \sum _I \min (H_1(I), H_2(I))\)
`HISTCMP_BHATTACHARYYA`	Bhattacharyya 거리(헬린저 거리) \(d(H_1,\ H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\)
`HISTCMP_HELLINGER`	헬린저 거리 \(d(H_1,\ H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\)
`HISTCMP_CHISQR_ALT`	카이제곱 검정 대안 \(d(H_1,\ H_2) = 2 * \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)+H_2(I)}\)
`HISTCMP_KL_DIV`	쿨백-라이블러 발산 \(d(H_1,\ H_2) = \sum _I H_1(I) \log \left(\frac{H_1(I)}{H_2(I)}\right)\)

플래그	설명
`HistCompMethods.Correl`	상관관계 \(d(H_1,\ H_2) = \frac{\sum_I (H_1(I) - \bar{H_1}) (H_2(I) - \bar{H_2})}{\sqrt{\sum_I(H_1(I) - \bar{H_1})^2 \sum_I(H_2(I) - \bar{H_2})^2}}\) \(\bar{H_k} = \frac{1}{N} \sum _J H_k(J)\) \(N\)은 히스토그램 빈(Bin) 수
`HistCompMethods.Chisqr`	카이제곱 검정 \(d(H_1,\ H_2) = \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)}\)
`HistCompMethods.Intersect`	교집합 \(d(H_1,\ H_2) = \sum _I \min (H_1(I), H_2(I))\)
`HistCompMethods.Bhattacharyya`	Bhattacharyya 거리(헬린저 거리) \(d(H_1,\ H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\)
`HistCompMethods.Hellinger`	헬린저 거리 \(d(H_1,\ H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\)
`HistCompMethods.ChisqrAlt`	카이제곱 검정 대안 \(d(H_1,\ H_2) = 2 * \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)+H_2(I)}\)
`HistCompMethods.KLDiv`	쿨백-라이블러 발산 \(d(H_1,\ H_2) = \sum _I H_1(I) \log \left(\frac{H_1(I)}{H_2(I)}\right)\)

플래그	설명
`cv2.HISTCMP_CORREL`	상관관계 \(d(H_1,\ H_2) = \frac{\sum_I (H_1(I) - \bar{H_1}) (H_2(I) - \bar{H_2})}{\sqrt{\sum_I(H_1(I) - \bar{H_1})^2 \sum_I(H_2(I) - \bar{H_2})^2}}\) \(\bar{H_k} = \frac{1}{N} \sum _J H_k(J)\) \(N\)은 히스토그램 빈(Bin) 수
`cv2.HISTCMP_CHISQR`	카이제곱 검정 \(d(H_1,\ H_2) = \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)}\)
`cv2.HISTCMP_INTERSECT`	교집합 \(d(H_1,\ H_2) = \sum _I \min (H_1(I), H_2(I))\)
`cv2.HISTCMP_BHATTACHARYYA`	Bhattacharyya 거리(헬린저 거리) \(d(H_1,\ H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\)
`cv2.HISTCMP_HELLINGER`	헬린저 거리 \(d(H_1,\ H_2) = \sqrt{1 - \frac{1}{\sqrt{\bar{H_1} \bar{H_2} N^2}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}}\)
`cv2.HISTCMP_CHISQR_ALT`	카이제곱 검정 대안 \(d(H_1,\ H_2) = 2 * \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)+H_2(I)}\)
`cv2.HISTCMP_KL_DIV`	쿨백-라이블러 발산 \(d(H_1,\ H_2) = \sum _I H_1(I) \log \left(\frac{H_1(I)}{H_2(I)}\right)\)

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