HALCON从入门到入门-快速傅里叶变换FFT

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#计算机视觉 #人工智能 #机器视觉 #HALCON #halcon

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测试效果

处理步骤

1.读取图片

2.设置傅里叶变换参数

optimize_rft_speed (Width, Height, 'standard')

3.创建带通滤波器

Sigma1 := 10.0

Sigma2 := 3.0

gen_gauss_filter (GaussFilter1, Sigma1, Sigma1, 0.0, 'none', 'rft', Width, Height)

gen_gauss_filter (GaussFilter2, Sigma2, Sigma2, 0.0, 'none', 'rft', Width, Height)

sub_image (GaussFilter1, GaussFilter2, Filter, 1, 0)

4.将图像变换到频域，应用滤波器后再将图像由频域变换到时域中来

rft_generic (Image, ImageFFT, 'to_freq', 'none', 'complex', Width)

convol_fft (ImageFFT, Filter, ImageConvol)

rft_generic (ImageConvol, ImageFiltered, 'from_freq', 'n', 'real', Width)

5.图像后处理，二值化那些

gray_range_rect (ImageFiltered, ImageResult, 10, 10)
min_max_gray (ImageResult, ImageResult, 0, Min, Max, Range)
threshold (ImageResult, RegionDynThresh, max([5.55,Max * 0.8]), 255)
connection (RegionDynThresh, ConnectedRegions)
select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 4, 99999)
union1 (SelectedRegions, RegionUnion)
closing_circle (RegionUnion, RegionClosing, 10)
connection (RegionClosing, ConnectedRegions1)
select_shape (ConnectedRegions1, SelectedRegions1, 'area', 'and', 10, 99999)
area_center (SelectedRegions1, Area, Row, Column)