Python cv2.THRESH_TOZERO_INV Examples

The following are 5 code examples of cv2.THRESH_TOZERO_INV(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module cv2 , or try the search function .
Example #1
Source File: MeterReader.py    From Pointer-meter-identification-and-reading with MIT License 6 votes vote down vote up 
def binary_image(self,img):
        # 应用5种不同的阈值方法
        # ret, th1 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY)
        # ret, th2 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY_INV)
        # ret, th3 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TRUNC)
        # ret, th4 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TOZERO)
        # ret, th5 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TOZERO_INV)
        # titles = ['Gray', 'BINARY', 'BINARY_INV', 'TRUNC', 'TOZERO', 'TOZERO_INV']
        # images = [img_gray, th1, th2, th3, th4, th5]
        # 使用Matplotlib显示
        # for i in range(6):
        #     plt.subplot(2, 3, i + 1)
        #     plt.imshow(images[i], 'gray')
        #     plt.title(titles[i], fontsize=8)
        #     plt.xticks([]), plt.yticks([])  # 隐藏坐标轴
        # plt.show()

        # Otsu阈值
        _, th = cv2.threshold(img, 0, 255, cv2.THRESH_TOZERO + cv2.THRESH_OTSU)
        cv2.imshow('Binary image', th)
        return th

    # 边缘检测
Example #2
Source File: OTSUThresholding.py    From Finger-Detection-and-Tracking with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def main():
    threshold = 0
    max_value = 255

    image = cv2.imread("../data/7.1.08.tiff", 0)

    # when applying OTSU threshold, set threshold to 0.

    _, output1 = cv2.threshold(image, threshold, max_value, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
    _, output2 = cv2.threshold(image, threshold, max_value, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
    _, output3 = cv2.threshold(image, threshold, max_value, cv2.THRESH_TOZERO + cv2.THRESH_OTSU)
    _, output4 = cv2.threshold(image, threshold, max_value, cv2.THRESH_TOZERO_INV + cv2.THRESH_OTSU)
    _, output5 = cv2.threshold(image, threshold, max_value, cv2.THRESH_TRUNC + cv2.THRESH_OTSU)

    images = [image, output1, output2, output3, output4, output5]
    titles = ["Orignals", "Binary", "Binary Inverse", "TOZERO", "TOZERO INV", "TRUNC"]

    for i in range(6):
        plt.subplot(3, 2, i + 1)
        plt.imshow(images[i], cmap='gray')
        plt.title(titles[i])

    plt.show()
Example #3
Source File: extract_color.py    From python-image-processing with MIT License 6 votes vote down vote up 
def extract_color( src, h_th_low, h_th_up, s_th, v_th ):
    hsv = cv2.cvtColor(src, cv2.COLOR_BGR2HSV)
    h, s, v = cv2.split(hsv)
    if h_th_low > h_th_up:
        ret, h_dst_1 = cv2.threshold(h, h_th_low, 255, cv2.THRESH_BINARY) 
        ret, h_dst_2 = cv2.threshold(h, h_th_up,  255, cv2.THRESH_BINARY_INV)

        dst = cv2.bitwise_or(h_dst_1, h_dst_2)
    else:
        ret, dst = cv2.threshold(h,   h_th_low, 255, cv2.THRESH_TOZERO) 
        ret, dst = cv2.threshold(dst, h_th_up,  255, cv2.THRESH_TOZERO_INV)
        ret, dst = cv2.threshold(dst, 0, 255, cv2.THRESH_BINARY)

    ret, s_dst = cv2.threshold(s, s_th, 255, cv2.THRESH_BINARY)
    ret, v_dst = cv2.threshold(v, v_th, 255, cv2.THRESH_BINARY)
    dst = cv2.bitwise_and(dst, s_dst)
    dst = cv2.bitwise_and(dst, v_dst)
    return dst
Example #4
Source File: bot.py    From bot with MIT License 5 votes vote down vote up 
def find_from_targeted(self, left, right):

        # @TODO ignore red target - it is attacked and dead
        template = cv2.imread('img/template_target.png', 0)

        # print template.shape
        roi = get_screen(
            self.window_info["x"],
            self.window_info["y"],
            self.window_info["x"] + self.window_info["width"],
            self.window_info["y"] + self.window_info["height"] - 300
        )

        roi = cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY)
        ret, th1 = cv2.threshold(roi, 224, 255, cv2.THRESH_TOZERO_INV)
        ret, th2 = cv2.threshold(th1, 135, 255, cv2.THRESH_BINARY)
        ret, tp1 = cv2.threshold(template, 224, 255, cv2.THRESH_TOZERO_INV)
        ret, tp2 = cv2.threshold(tp1, 135, 255, cv2.THRESH_BINARY)
        if not hasattr(th2, 'shape'):
            return False
        wth, hth = th2.shape
        wtp, htp = tp2.shape
        if wth > wtp and hth > htp:
            res = cv2.matchTemplate(th2, tp2, cv2.TM_CCORR_NORMED)
            if res.any():
                min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
                if max_val > 0.7:
                    return True
                else:
                    return False
        return False
Example #5
Source File: preprocess.py    From MVSNet with MIT License 5 votes vote down vote up 
def mask_depth_image(depth_image, min_depth, max_depth):
    """ mask out-of-range pixel to zero """
    # print ('mask min max', min_depth, max_depth)
    ret, depth_image = cv2.threshold(depth_image, min_depth, 100000, cv2.THRESH_TOZERO)
    ret, depth_image = cv2.threshold(depth_image, max_depth, 100000, cv2.THRESH_TOZERO_INV)
    depth_image = np.expand_dims(depth_image, 2)
    return depth_image