gaussian_gradient_magnitude: ndarray 过滤数组。具有与输入相同的形状。 例子: >>> from scipy import ndimage, datasets >>> import matplotlib.pyplot as plt >>> fig = plt.figure() >>> plt.gray() # show the filtered result in grayscale >>> ax1 = fig.add_subplot(121) # left side >>> ...
defpruning(self, skeleton_img, sigma):skeleton_img_mat = image_conversion.cv2array(skeleton_img)# Ausgabe-Array fuer das Ergebnis der Gradientberechnunggradient_output = numpy.empty_like(skeleton_img_mat)# Gradienten-Berechnungndimage.gaussian_gradient_magnitude(skeleton_img_mat, sigma, gradient_outpu...
01 【从定义方式来看】 【普通函数】 定义普通函数的方式通常有函数声明和函数表达式： 【箭头函数...
Gradient MagnitudeLaplacian of GaussianDecoupled marginal distributionsTexture classification1st Chinese Conference on Computer Vision, CCCV 2015, 18-20 September 2015doi:10.1007/978-3-662-48558-3_42Wufeng XueXuanqin MouLei ZhangSpringer Berlin HeidelbergCCF Chinese Conference on Computer Vision...
aThe steps of Canny edge detection operator is that smooth the image by Gaussian filter firstly and then calculate the gradient magnitude and direction by first-order partial derivatives of the finite -difference. 步谨慎的边缘检测操作员是光滑图象由高斯过滤器由优先处理的部份衍生物有限首先然后计算梯度...
aThe steps of Canny edge detection operator is that smooth the image by Gaussian filter firstly and then calculate the gradient magnitude and direction by first-order partial derivatives of the finite -difference 步谨慎的边缘检测操作员是光滑图象由高斯过滤器由优先处理的部份衍生物有限首先然后计算梯度巨...
Blind image quality assessment for Gaussian blur images using exact Zernike moments and gradient magnitudeFeatures that exhibit human perception on the effect of blurring on digital images are useful in constructing a blur image quality metric. In this paper, we show some of the exact Zernike ...
示例1: image_gradient ▲点赞 3▼ # 需要导入模块: from scipy import ndimage [as 别名]# 或者: from scipy.ndimage importgaussian_gradient_magnitude[as 别名]defimage_gradient(in_file, snr, out_file=None):"""Computes the magnitude gradient of an image using numpy"""importos.pathasopimportnump...