灰度图像转换成彩色图像（伪

b,g,r=cv2.split(img1)
w,h,c=img1.shape
x=[b,g,r]
img3=np.empty((w,h,c))
# for i in range(w):
#     for j in range(h):
#         img3[i,j,0]=img1[i,j,0]
for i in range(c):
    img3[:,:,i]=x[i]
img3= cv2.cvtColor(img2,cv2.COLOR_BGR2GRAY)
m,n=img3.shape
img4=np.zeros((m,n,3))
for i in range(m):
    for j in range(n):
        #R
        if img3[i,j]>=0 and img3[i,j]<=127:
            img4[i,j,0]=0
        elif img3[i,j]>=128 and img3[i,j]<=191:
            img4[i,j,0]=4*img3[i,j]-510
        elif img3[i,j]>=192 and img3[i,j]<=255:
            img4[i,j,0]=255
        #G
        if img3[i,j]>=0 and img3[i,j]<=63:
            img4[i,j,1]=254-4*img3[i,j]
        elif img3[i,j]>=64 and img3[i,j]<=127:
            img4[i,j,1]=4*img3[i,j]-254
        elif img3[i,j]>=128 and img3[i,j]<=191:
            img4[i,j,1]=255
        elif img3[i,j]>=192 and img3[i,j]<=255:
            img4[i,j,1]=1022-4*img3[i,j]
        #B
        if img3[i,j]>=0 and img3[i,j]<=63:
            img4[i,j,2]=255
        elif img3[i,j]>=64 and img3[i,j]<=127:
            img4[i,j,2]=510-4*img3[i,j]
        elif img3[i,j]>=128 and img3[i,j]<=255:
            img4[i,j,2]=0

cv2.imshow('img4',np.uint8(img4))
cv2.waitKey(0)
cv2.destroyAllWindows()