fine, but how did u get that? my method is:
V(x,y)=background vector at position (x,y)
U(x,y)=pixel vector at same position
V -> v(x,y)= V(x,y) / |V(x,y)|
U -> u(x,y)= u(x,y) / |U(x,y)|
now i calculate the scalar product u*v, this value should be near of 1 if the U(x,y) is a shadow pixel of the background V(x,y) and Us(x,y) (saturation) is more than Vs(x,y)... but sometimes takes some pixels of the objects...
i need how did u get that classification.. thnks
pantaneto93 3 years ago
hi, how did u find the shadow pixels?
fine, but how did u get that? my method is:
V(x,y)=background vector at position (x,y)
U(x,y)=pixel vector at same position
V -> v(x,y)= V(x,y) / |V(x,y)|
U -> u(x,y)= u(x,y) / |U(x,y)|
now i calculate the scalar product u*v, this value should be near of 1 if the U(x,y) is a shadow pixel of the background V(x,y) and Us(x,y) (saturation) is more than Vs(x,y)... but sometimes takes some pixels of the objects...
i need how did u get that classification.. thnks
pantaneto93 3 years ago
hi, how did u find the shadow pixels?
pantaneto93 3 years ago