fuzzy_entropyfuzzy_entropyFuzzyEntropyFuzzyEntropyfuzzy_entropy (算子)

名称

fuzzy_entropyfuzzy_entropyFuzzyEntropyFuzzyEntropyfuzzy_entropy — 确定区域的模糊熵。

签名

fuzzy_entropy(Regions, Image : : Apar, Cpar : Entropy)

Herror fuzzy_entropy(const Hobject Regions, const Hobject Image, const Hlong Apar, const Hlong Cpar, double* Entropy)

Herror T_fuzzy_entropy(const Hobject Regions, const Hobject Image, const Htuple Apar, const Htuple Cpar, Htuple* Entropy)

void FuzzyEntropy(const HObject& Regions, const HObject& Image, const HTuple& Apar, const HTuple& Cpar, HTuple* Entropy)

HTuple HImage::FuzzyEntropy(const HRegion& Regions, Hlong Apar, Hlong Cpar) const

HTuple HRegion::FuzzyEntropy(const HImage& Image, Hlong Apar, Hlong Cpar) const

static void HOperatorSet.FuzzyEntropy(HObject regions, HObject image, HTuple apar, HTuple cpar, out HTuple entropy)

HTuple HImage.FuzzyEntropy(HRegion regions, int apar, int cpar)

HTuple HRegion.FuzzyEntropy(HImage image, int apar, int cpar)

def fuzzy_entropy(regions: HObject, image: HObject, apar: int, cpar: int) -> Sequence[float]

def fuzzy_entropy_s(regions: HObject, image: HObject, apar: int, cpar: int) -> float

描述

fuzzy_entropyfuzzy_entropyFuzzyEntropyFuzzyEntropyFuzzyEntropyfuzzy_entropy calculates the fuzzy entropy of a fuzzy set. To do so, the image is regarded as a fuzzy set. The entropy then is a measure of how well the image approximates a white or black image. It is defined as follows: where MxN is the size of the image, and h(l) is the histogram of the image. Furthermore, Here, u(x(m,n)) is a fuzzy membership function defining the fuzzy set (see fuzzy_perimeterfuzzy_perimeterFuzzyPerimeterFuzzyPerimeterFuzzyPerimeterfuzzy_perimeter). The same restrictions hold as in fuzzy_perimeterfuzzy_perimeterFuzzyPerimeterFuzzyPerimeterFuzzyPerimeterfuzzy_perimeter

注意

Note that for fuzzy_entropyfuzzy_entropyFuzzyEntropyFuzzyEntropyFuzzyEntropyfuzzy_entropy, the RegionsRegionsRegionsRegionsregionsregions must lie completely within the previously defined domain.否则将抛出异常。

执行信息

参数

RegionsRegionsRegionsRegionsregionsregions (输入对象)  region(-array) objectHRegionHObjectHRegionHobject

Regions for which the fuzzy entropy is to be calculated.

ImageImageImageImageimageimage (输入对象)  singlechannelimage objectHImageHObjectHImageHobject (byte)

Input image containing the fuzzy membership values.

AparAparAparAparaparapar (输入控制)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Start of the fuzzy function.

默认值: 0

建议值: 0, 5, 10, 20, 50, 100

值范围: 0 ≤ Apar Apar Apar Apar apar apar ≤ 255 (lin)

最小增量: 1

建议增量: 5

CparCparCparCparcparcpar (输入控制)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

End of the fuzzy function.

默认值: 255

建议值: 50, 100, 150, 200, 220, 255

值范围: 0 ≤ Cpar Cpar Cpar Cpar cpar cpar ≤ 255 (lin)

最小增量: 1

建议增量: 5

限制: Apar <= Cpar

EntropyEntropyEntropyEntropyentropyentropy (输出控制)  real(-array) HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

Fuzzy entropy of a region.

示例(HDevelop)

* To find a Fuzzy Entropy from an Image
read_image(Image,'monkey')
fuzzy_entropy(Trans,Trans,0,255,Entro)

示例(C)

/* To find a Fuzzy Entropy from an Image */
read_image(&Image,'monkey');
fuzzy_entropy(Trans,Trans,0,255,&Entro);

示例(HDevelop)

* To find a Fuzzy Entropy from an Image
read_image(Image,'monkey')
fuzzy_entropy(Trans,Trans,0,255,Entro)

示例(HDevelop)

* To find a Fuzzy Entropy from an Image
read_image(Image,'monkey')
fuzzy_entropy(Trans,Trans,0,255,Entro)

示例(HDevelop)

* To find a Fuzzy Entropy from an Image
read_image(Image,'monkey')
fuzzy_entropy(Trans,Trans,0,255,Entro)

结果

算子 fuzzy_entropyfuzzy_entropyFuzzyEntropyFuzzyEntropyFuzzyEntropyfuzzy_entropy 在参数正确时返回值 2 ( H_MSG_TRUE )。否则将抛出异常。

另见

fuzzy_perimeterfuzzy_perimeterFuzzyPerimeterFuzzyPerimeterFuzzyPerimeterfuzzy_perimeter

参考文献

M.K. Kundu, S.K. Pal: “Automatic selection of object enhancement operator with quantitative justification based on fuzzy set theoretic measures”; Pattern Recognition Letters 11; 1990; pp. 811-829.

模块

基础