foundation.py 文件源码

def checkForSkin(IMG10):
    high,widt=IMG10.shape[:2]

    B1=np.reshape(np.float32(IMG10[:,:,0]),high*widt)#B
    G1=np.reshape(np.float32(IMG10[:,:,1]),high*widt)#G
    R1=np.reshape(np.float32(IMG10[:,:,2]),high*widt)#Rs

    #print high,widt
    h3=np.zeros((high,widt,3),np.uint8)

    #cv2.imshow("onetime",h)


    tem=np.logical_and(np.logical_and(np.logical_and(np.logical_and(R1 > 95, G1 > 40),np.logical_and(B1 > 20, (np.maximum(np.maximum(R1,G1),B1) - np.minimum(np.minimum(R1,G1),B1)) > 15)),R1>B1),np.logical_and(np.absolute(R1-G1) > 15,R1>G1))
    h5=np.array(tem).astype(np.uint8,order='C',casting='unsafe')

    h5=np.reshape(h5,(high,widt))
    h3[:,:,0]=h5
    h3[:,:,1]=h5
    h3[:,:,2]=h5
    #cv2.imshow("thirdtime",h3)
    kernel1 = np.ones((3,3),np.uint8)
    closedH3=np.copy(h3)
    for i in range(5):
        closedH3 = cv2.erode(closedH3,kernel1)
    for i in range(5):
        closedH3 = cv2.dilate(closedH3,kernel1)
    #cv2.imshow("closedH3",closedH3)
    # closedH3 = cv2.cvtColor(closedH3, cv2.COLOR_BGR2RGB)
    return closedH3