[OpenCV] Chapter02-07 Mean variance image normalization

Mean variance image normalization

Source Code

package main

import (
 "gocv.io/x/gocv"
 "log"
 "math"
)

type Image []float32

func main() {
 imageFilePath := "../../data/Lena.png"
 originalMat := gocv.IMRead(imageFilePath, gocv.IMReadGrayScale)
 if originalMat.Empty() {
  log.Panic("Can not read image: " + imageFilePath)
  return
 }

 originalImage := originalMat.ToBytes()
 targetImage := make(Image, len(originalImage))
 for i := 0; i < len(targetImage); i++ {
  targetImage[i] = float32(originalImage[i]) / 255
 }

 targetImage.zeroAverageMatrix()
 log.Println(targetImage)

 targetImage.dispersionMatrix()
 log.Println(targetImage)
}

func (image *Image) zeroAverageMatrix() {
 average := image.average()

 for i := 0; i < len(*image); i++ {
  (*image)[i] = (*image)[i] - average
 }
}

func (image *Image) dispersionMatrix() {
 average := image.average()
 tempImage := image.clone()
 length := len(tempImage)

 for i := 0; i < length; i++ {
  tempImage[i] = float32(math.Pow(float64(tempImage[i]-average), 2))
 }

 sum := tempImage.sum()

 standardDeviation := sum / float32(length-1)

 for i := 0; i < length; i++ {
  (*image)[i] = (*image)[i] / standardDeviation
 }
}

func (image Image) sum() float32 {
 length := len(image)
 var sum float32 = 0
 for i := 0; i < length; i++ {
  sum = sum + image[i]
 }

 return sum
}

func (image Image) average() float32 {
 length := len(image)
 sum := image.sum()

 return sum / float32(length)
}

func (image Image) clone() Image {
 length := len(image)
 cloneImage := make([]float32, length)
 for i := 0; i < length; i++ {
  cloneImage[i] = image[i]
 }

 return cloneImage
}

Execute Result

... 0.95914435 0.8326855 1.0856031 1.4649796 1.212062 1.5914385 1.4649796 1.212062 1.4649796 2.3501916 1.7178973 1.7178973 1.5914385 1.4649796 1.4649796 1.7178973 1.7178973 1.3385209 1.5914385 1.7178973 1.9708151 2.0972738 1.8443562 1.5914385 1.5914385 2.2237327 2.3501916 2.2237327 2.2237327 2.3501916 2.0972738 1.9708151 1.9708151 2.2237327 2.0972738 2.9824858 2.6031091 2.6031091 2.3501916 2.856027 2.3501916 2.6031091 2.856027 2.4766505 2.6031091 2.3501916 2.6031091 2.729568 2.3501916 2.729568 2.9824858 2.9824858 2.729568 2.9824858 2.729568 2.729568 3.1089447 3.3618622 2.856027 2.729568 2.729568 3.1089447 3.7412388 3.2354033 2.9824858 2.9824858 2.9824858 3.1089447 2.9824858 3.3618622 2.729568 3.1089447 3.2354033 3.3618622 3.3618622 3.1089447 2.9824858 2.9824858 2.729568 3.61478 3.3618622 3.2354033 2.856027 2.9824858 2.9824858 2.9824858 2.9824858 3.1089447 3.3618622 2.9824858 2.9824858 3.488321 3.3618622 3.2354033 3.488321 3.7412388 3.7412388 3.8676975 3.8676975 3.3618622 3.2354033 3.61478 3.3618622 3.488321 3.9941564 4.247074 4.247074 4.373533 4.6264505 4.8793683 4.8793683 4.8793683 4.7529097 5.385204 5.132286 4.8793683 4.8793683 5.2587447 5.7645802 5.891039 6.1439567 6.017498 6.017498 6.2704153 6.1439567 6.2704153 6.776251 6.776251 7.1556273 7.2820864 7.661463 7.1556273 7.408545 7.9143806 7.7879214 8.420216 8.167298 8.167298 9.431887 8.799592 9.178968 9.178968 9.178968 9.305428 9.431887 9.305428 9.431887 9.811263 9.811263 9.937722 10.06418 10.06418 10.06418 9.811263 10.317099 10.317099 10.443557 10.06418 7.5350037 0.07393247 -6.8813047 -6.628387 -6.375469 -5.4902573 -5.3637986 -4.6050453 -4.3521276 -2.708163 -2.708163 -2.9610806 -3.2139983 -3.4669158 -2.5817041 -2.8346217 -3.8462925 -3.3404572 -2.2023275 -1.9494098 -2.5817041 -1.3171157 -0.6848215 -1.1906569 -0.81128037 -0.5583617 -0.5583617 -0.4319029 -0.5583617 -0.6848215 -0.30544403 -0.6848215 0.07393247 -0.4319029 -0.5583617 -0.5583617 -0.81128037 -0.6848215 -1.064198 -0.4319029 -1.3171157 -1.064198 -1.5700333 -1.3171157 -1.064198 -0.9377392 -0.9377392 -0.81128037 -0.9377392 -0.5583617 -0.4319029 0.20039131 0.32685015 0.32685015 -0.052526366 -0.30544403 -0.6848215 -1.5700333 -1.8229511 -2.3287864 -3.3404572 -3.3404572 -3.8462925 -3.3404572 -3.3404572 -3.4669158 -2.708163 -2.8346217 -3.3404572 -3.4669158 -3.8462925 -5.110881 -4.6050453 -4.3521276 -5.3637986 -5.743175 -5.3637986 -5.110881 -5.110881 -5.996093 -6.1225514 -5.4902573 -5.743175 -4.6050453 -6.375469 -5.996093 -6.1225514 -5.110881 -4.984422 -5.110881 -4.3521276 -2.9610806 -2.2023275 -1.8229511 -0.81128037 -0.5583617 -0.5583617 -0.4319029 -0.30544403 0.20039131 -0.5583617 -1.1906569 -1.5700333 -3.2139983 -2.5817041 -2.3287864 -4.225669 -4.225669 -5.110881 -5.4902573 -6.375469 -6.8813047 -8.145893 -7.8929753 -8.651729 -8.39881 -9.031106 -9.031106 -8.39881 -8.39881 -8.145893 -8.145893 -8.145893 -6.628387 -8.145893 -8.651729 -7.8929753 -6.375469 -6.628387 -5.996093 -4.984422 -4.225669 -9.6634 -9.6634 -8.651729 -9.031106 -9.031106 -8.651729 -9.031106 -9.031106 -8.651729 -8.145893 -8.39881 -8.651729 -8.145893 -6.8813047 -2.8346217 -0.30544403 3.488321 7.9143806 8.167298 8.2937565 8.546675 8.926051 9.05251 9.305428 8.799592 8.926051 7.9143806 7.7879214 7.0291686 6.3968744 4.8793683 -0.052526366 -2.5817041 -1.6964922 -0.5583617 0.45330897 1.5914385 2.729568 3.3618622 4.373533 4.499992 5.132286 6.017498 6.523333 6.2704153 6.1439567 6.3968744 6.017498 6.2704153 6.776251 6.2704153 6.523333 6.776251 6.649792 7.0291686 6.9027095 6.776251 6.2704153 4.8793683 5.2587447 2.6031091 0.5797678 1.0856031 -1.5700333 -3.8462925 -7.6400576 -7.8929753 -8.651729 -8.651729 -9.6634 -10.042776 -8.651729 -8.145893 -10.042776 -10.4221525 -9.284023 -8.651729 -9.031106 -10.042776 -10.4221525 -7.6400576 -9.6634 -9.284023 -7.8929753 -7.6400576 -7.8929753 -8.39881 -7.8929753 -8.39881 -7.38714 -8.145893 -7.6400576 -5.996093 -7.38714 -6.8813047 -7.134222 -5.743175 -9.031106 -9.284023 -10.042776 -7.6400576 -2.8346217 -6.628387 -8.39881 -8.651729 -9.6634 -9.6634 -3.9727514 1.7178973 -3.2139983 -6.1225514 -6.375469 -7.8929753 -9.6634 -9.284023 -9.6634 -8.39881 -8.39881 -4.6050453 -1.6964922 -1.6964922 -0.81128037 -9.284023 -8.145893 -4.6050453 -6.1225514 -6.1225514 -4.6050453 2.3501916 1.0856031 -2.2023275 -7.6400576 -9.6634 -10.042776 -9.031106 -10.042776 -9.6634 -5.3637986 -3.4669158 -1.064198 -3.2139983 -9.6634 -10.042776 -7.8929753 -5.996093 -8.39881 -10.042776 -9.031106 -5.996093 -4.6050453 -6.8813047 -7.134222 -5.996093 -3.9727514 -4.984422 -9.284023 -9.284023 -6.8813047 -5.996093 -7.8929753 -5.110881 -1.5700333 -0.5583617 -5.110881 -3.4669158 -2.3287864 -0.4319029 -1.1906569 -5.743175 -9.284023 -10.4221525 -10.4221525 -10.927988 -10.4221525 -10.4221525 -9.284023 -9.031106 -8.651729 -8.145893 -7.134222 -6.628387 -5.743175 -4.984422 -4.6050453 -3.3404572 -2.8346217 -3.4669158 -2.3287864 -2.2023275 -1.5700333 -1.5700333 -1.9494098 -1.6964922 -1.064198 -1.064198 -0.17898521 -0.6848215 -1.064198 -0.30544403 0.20039131 0.07393247 -0.052526366 0.20039131 -0.052526366 0.32685015 0.70622665 -0.052526366 0.20039131 0.32685015 0.70622665 0.5797678 0.8326855 1.212062 1.4649796 1.212062 0.95914435 0.95914435 0.95914435 0.8326855 1.0856031 1.0856031 0.95914435 0.8326855 0.95914435 1.212062 1.4649796 1.5914385 1.7178973 1.4649796 1.7178973 1.4649796 1.4649796 1.7178973 1.8443562 1.4649796 1.7178973 1.4649796 1.4649796 1.4649796 1.4649796 1.7178973 1.5914385 1.9708151 2.0972738 1.8443562 1.8443562 2.2237327 2.3501916 2.0972738 2.2237327 1.9708151 1.8443562 1.7178973 1.9708151 1.8443562 2.3501916 2.6031091 2.729568 2.856027 2.3501916 2.3501916 2.2237327 2.2237327 2.729568 2.729568 2.3501916 2.3501916 2.3501916 2.856027 2.729568 2.9824858 2.856027 2.4766505 3.2354033 2.9824858 2.9824858 2.856027 2.9824858 2.9824858 3.2354033 2.9824858 2.856027 3.1089447 2.9824858 3.1089447 2.9824858 2.729568 3.1089447 3.488321 3.488321 2.9824858 2.9824858 3.1089447 2.9824858 2.9824858 3.61478 3.488321 3.488321 3.3618622 2.856027 3.488321 3.488321 3.488321 3.3618622 2.9824858 3.2354033 3.2354033 3.3618622 3.3618622 2.856027 2.856027 2.856027 2.9824858 3.488321 3.488321 3.3618622 3.2354033 3.7412388 3.9941564 3.8676975 3.8676975 3.61478 3.8676975 3.7412388 3.2354033 3.7412388 4.1206155 4.373533 4.499992 4.373533 4.247074 4.7529097 5.132286 4.8793683 4.8793683 5.005827 4.8793683 4.7529097 5.005827 5.005827 5.638121 5.385204 6.1439567 6.017498 5.891039 5.7645802 6.2704153 6.3968744 6.776251 6.9027095 7.2820864 7.1556273 7.0291686 7.1556273 7.5350037 7.661463 7.7879214 8.167298 8.420216 8.420216 8.799592 8.167298 8.926051 8.673134 9.305428 9.558345 9.558345 9.431887 9.558345 9.811263 9.684804 9.937722 9.811263 9.811263 10.06418 9.937722 10.317099 10.06418 10.317099 10.06418 8.420216 1.3385209 -5.743175 -5.996093 -5.743175 -6.8813047 -5.110881 -4.984422 -4.6050453 -4.7315044 -4.6050453 -2.708163 -3.2139983 -3.2139983 -2.9610806 -3.7198336 -3.3404572 -2.8346217 -2.8346217 -2.8346217 -1.9494098 -1.1906569 -1.3171157 -0.9377392 -0.6848215 -0.81128037 -1.064198 -0.9377392 -0.81128037 -0.5583617 0.32685015 -0.6848215 -0.052526366 -0.17898521 0.32685015 -0.052526366 -0.81128037 -0.4319029 -0.6848215 -0.6848215 -0.5583617 -1.3171157 -0.9377392 -0.9377392 -0.5583617 -0.81128037 -0.9377392 -0.5583617 -0.17898521 0.07393247 0.5797678 0.70622665 0.8326855 0.95914435 -0.052526366 -0.30544403 -0.9377392 -1.6964922 -1.9494098 -3.2139983 -3.4669158 -3.4669158 -3.3404572 -3.4669158 -3.4669158 -3.2139983 -2.8346217 -2.708163 -3.3404572 -4.3521276 -4.3521276 -5.3637986 -5.110881 -4.7315044 -5.3637986 -4.7315044 -4.984422 -4.7315044 -5.4902573 -4.984422 -4.984422 -6.1225514 -5.743175 -5.743175 -6.375469 -5.996093 -5.743175 -5.743175 -5.3637986 -4.6050453 -3.4669158 -2.708163 -1.6964922 -0.9377392 -0.4319029 -0.30544403 -0.052526366 -0.17898521 -0.6848215 -0.4319029 -1.1906569 -1.3171157 -2.708163 -2.5817041 -2.9610806 -3.3404572 -4.7315044 -4.984422 -5.4902573 -5.4902573 -7.38714 -7.6400576 -8.145893 -8.651729 -9.031106 -9.284023 -9.284023 -9.031106 -8.651729 -8.651729 -8.651729 -8.39881 -8.651729 -7.134222 -7.8929753 -7.6400576 -6.1225514 -5.743175 -5.110881 -4.984422 -3.8462925 -3.4669158 -9.284023 -9.284023 -8.651729 -9.031106 -8.651729 -8.651729 -9.031106 -8.39881 -7.8929753 -9.031106 -8.651729 -8.145893 -7.6400576 -6.8813047 -3.2139983 -0.17898521 3.61478 8.167298 8.040839 8.2937565 8.546675 8.2937565 8.799592 9.178968 8.926051 8.546675 8.2937565 7.9143806 7.2820864 6.649792 5.132286 0.45330897 -2.5817041 -1.8229511 -0.81128037 0.45330897 1.4649796 2.6031091 3.2354033 4.6264505 4.6264505 5.2587447 6.017498 6.2704153 6.523333 6.2704153 6.2704153 6.2704153 6.523333 6.649792 6.3968744 6.776251 6.649792 7.0291686 6.649792 7.0291686 6.523333 5.891039 5.7645802 4.7529097 1.0856031 -0.4319029 -0.17898521 -2.8346217 -3.9727514 -9.031106 -8.651729 -9.031106 -9.031106 -9.284023 -9.6634 -9.284023 -8.39881 -9.6634 -9.6634 -9.031106 -8.145893 -8.651729 -10.042776 -7.134222 -8.651729 -9.031106 -9.031106 -8.145893 -7.8929753 -9.284023 -8.145893 -7.38714 -8.39881 -7.38714 -7.8929753 -6.1225514 -4.7315044 -6.8813047 -5.110881 -7.38714 -5.743175 -7.6400576 -8.651729 -8.651729 -8.39881 -7.38714 -6.375469 -6.628387 -8.651729 -10.042776 -9.284023 -3.3404572 0.8326855 -4.984422 -6.375469 -6.1225514 -8.145893 -9.284023 -9.284023 -9.031106 -8.39881 -7.38714 -5.743175 -2.8346217 -2.8346217 -0.9377392 -10.042776 -9.031106 -4.225669 -5.996093 -5.3637986 -7.134222 0.32685015 2.729568 -0.30544403 -3.9727514 -9.284023 -10.042776 -10.4221525 -9.284023 -8.39881 -5.110881 -0.9377392 -3.7198336 -0.4319029 -5.743175 -9.031106 -9.6634 -6.8813047 -6.628387 -8.651729 -8.651729 -8.145893 -4.3521276 -4.6050453 -7.8929753 -7.8929753 -7.8929753 -4.984422 -8.651729 -10.042776 -9.031106 -6.1225514 -5.996093 -5.743175 -2.3287864 -0.6848215 -6.8813047 -5.3637986 -4.225669 -1.5700333 0.70622665 -1.3171157 -5.743175 -9.6634 -11.307364 -10.042776 -10.4221525 -10.042776 -9.284023 -9.284023 -7.8929753 -7.6400576 -7.134222 -6.628387 -5.4902573 -4.6050453 -4.6050453 -3.4669158 -3.7198336 -2.9610806 -2.708163 -2.2023275 -1.9494098 -1.9494098 -1.5700333 -1.1906569 -1.1906569 -0.6848215 -0.30544403 -0.30544403 -0.4319029 -0.17898521 -0.17898521 0.32685015 0.5797678 0.07393247 0.20039131 0.32685015 0.45330897 -0.052526366 0.20039131 0.32685015 0.32685015 0.5797678 0.5797678 1.212062 1.3385209 1.0856031 1.212062 0.8326855 0.95914435 0.5797678 0.95914435 1.212062 0.8326855 1.212062 0.95914435 1.212062 1.7178973 1.5914385 1.4649796 1.4649796 1.4649796 1.5914385 1.5914385 1.8443562 1.7178973 1.4649796 1.8443562 1.5914385 1.4649796 1.212062 1.8443562 2.3501916 2.0972738 2.0972738 2.0972738 2.3501916 2.3501916 2.2237327 2.4766505 2.0972738 2.2237327 2.2237327 2.3501916 1.9708151 1.9708151 2.0972738 2.3501916 2.4766505 2.4766505 2.729568 2.3501916 2.3501916 2.2237327 2.4766505 2.729568 2.4766505 2.6031091 2.3501916 2.4766505 2.6031091 2.729568 2.9824858 2.729568 2.729568 3.2354033 2.9824858 2.9824858 2.9824858 2.9824858 3.3618622 3.2354033 3.2354033 2.856027 3.2354033 2.9824858 2.6031091 2.6031091 2.856027 3.488321 3.2354033 3.1089447 2.856027 3.1089447 2.856027 2.9824858 2.9824858 3.2354033 3.488321 3.61478 3.3618622 3.1089447 3.488321 3.7412388 3.2354033 2.9824858 3.61478 2.9824858 3.488321 3.488321 2.856027 2.856027 3.2354033 2.9824858 3.1089447 3.2354033 3.488321 3.1089447 3.488321 3.9941564 3.9941564 3.9941564 3.9941564 3.7412388 3.9941564 3.9941564 3.61478 3.8676975 3.7412388 4.247074 4.499992 4.499992 4.373533 4.7529097 4.7529097 4.8793683 4.499992 4.7529097 4.247074 4.499992 5.132286 5.132286 5.132286 5.5116625 6.017498 6.017498 5.638121 5.7645802 6.2704153 6.1439567 7.0291686 7.0291686 7.1556273 7.0291686 6.776251 7.5350037 7.408545 7.7879214 7.9143806 7.9143806 8.167298 8.167298 8.673134 8.799592 8.926051 8.799592 8.926051 9.305428 9.305428 9.305428 9.305428 10.06418 9.684804 9.811263 10.1906395 10.06418 10.06418 10.06418 10.06418 10.06418 10.1906395 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