水平垂直差分法的增强方法halcon代码
时间: 2024-03-19 10:45:49 浏览: 59
以下是使用水平垂直差分法进行图像增强的Halcon代码,其中包括了非线性增强法和多尺度增强法:
1. 非线性增强法
```
read_image(Image, 'image.jpg')
gray_image(Image, ImageGray)
SmoothImage := smooth_image(ImageGray, 'gauss', 5.0)
DiffH := abs(directed_derivatives_scharr(SmoothImage, 'x'))
DiffV := abs(directed_derivatives_scharr(SmoothImage, 'y'))
DiffH := power(DiffH, 0.5)
DiffV := power(DiffV, 0.5)
EnhancedImage := (DiffH * DiffH) + (DiffV * DiffV)
EnhancedImage := power(EnhancedImage, 0.5)
write_image(EnhancedImage, 'enhanced_image.jpg')
```
2. 多尺度增强法
```
read_image(Image, 'image.jpg')
gray_image(Image, ImageGray)
EnhancedImage := 0.0
ScaleFactor := 2.0
NumScales := 4
for I := 1 to NumScales by 1
SmoothImage := smooth_image(ImageGray, 'gauss', ScaleFactor)
DiffH := abs(directed_derivatives_scharr(SmoothImage, 'x'))
DiffV := abs(directed_derivatives_scharr(SmoothImage, 'y'))
EnhancedImage := EnhancedImage + (DiffH * DiffH) + (DiffV * DiffV)
ScaleFactor := ScaleFactor * 2.0
endfor
EnhancedImage := EnhancedImage / NumScales
EnhancedImage := power(EnhancedImage, 0.5)
write_image(EnhancedImage, 'enhanced_image.jpg')
```