Python Opencv 提取图像特征

灰度特征

代码如下：

def img2cols(self, img):
    img = img.reshape(img.size, order="C")
    # convert the data type as np.float64
    img = img.astype(np.float64)
    return img

HOG特征

代码如下：

def HOG_features(self, im):
    hog = cv2.HOGDescriptor()
    winStride = (8, 8)
    padding = (8, 8)
    hist = hog.compute(im, winStride, padding)
    hist = hist.reshape((-1,))
    return hist

LBP特征

def LBP_features(self, im):
   im = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)

    # settings for LBP
    radius = 3
    n_points = 8 * radius

    lbp_img = local_binary_pattern(im, n_points, radius)
    lbp = self.img2cols(lbp_img)

    # cv2.imshow("", lbp)
    # cv2.waitKey(0)

    return lbp