测试smooth_funct_1d_gauss
测试使用 smooth_funct_1d_gauss 算子 sigma=1 对 数组 GrayValues:=[1,2,3,4,5,6,7,8,9,10]进行高斯平滑
结果为
Y0:=[1.72626, 2.1253, 3.00878, 4.0, 5.0, 6.0, 7.0, 7.99122, 8.8747, 9.27374]
我按照自己的理解得到的结果
Y1:=[1.72669, 2.12574, 3.00887, 4.0, 5.0, 6.0, 7.0, 7.99113, 8.87426, 9.27331]
和halcon的结果基本很接近，为什么4.0, 5.0, 6.0, 7.0 这四个数看上去完全相等，其他的小数第三位后就不同，不知道什么原因，是计算有误吗？记录下：
GrayValues:=[1,2,3,4,5,6,7,8,9,10]
ii:=[0,1,2,3,4,5,6,7,8,9]
create_funct_1d_array (GrayValues, Function)
smooth_funct_1d_gauss (Function, 1, SmoothedFunction)
get_y_value_funct_1d (SmoothedFunction, ii, 'constant', Y0)
kernel:=[]
sigma:=1.0
summ:=0.0
for Index := 0 to 6 by 1
kernel[Index]:=exp(-0.5*(Index-3)*(Index-3)/sigma/sigma)
summ:=summ+kernel[Index]
endfor
for Index := 0 to 6 by 1
kernel[Index]:=kernel[Index]/summ
endfor
GrayValues:=[4,3,2,1,2,3,4,5,6,7,8,9,10,9,8,7]
Y1:=[]
for Index := 3 to |GrayValues|-4 by 1
v:=0
m:=0
for j := Index-3 to Index+3 by 1
v:=v+kernel[m]*GrayValues[j]
m:=m+1
endfor
Y1[Index-3]:=v
endfor