1]print(np.max(im))print(im.shape)emboss_kernel = np.array([[-2,-1,0],[-1,1,1],[0,1,2]])edge_schar_kernel = np.array([[ -3-3j, 0-10j, +3 -3j], [-10+0j, 0+ 0j, +10+0j], [ -3+3j, 0+10j, +3 +3j]])im_embossed = np.ones(im.shape)im_edges = np....
from PIL import Image from numpy import * from scipy.ndimage import filters im = array(Image.open('empire.jpg').convert('L')) # Sobel 导数滤波器 imx = zeros(im.shape) filters.sobel(im,1,imx) imy = zeros(im.shape) filters.sobel(im,0,imy) magnitude = sqrt(imx**2+imy**2) 上面...
这是help(sum)的文本: >>>help(sum)sum(iterable,/,start=0)Return the sumofa'start'value(default:0)plus an iterableofnumbers When the iterable is empty,returnthe start value.Thisfunctionis intended specificallyforusewithnumeric values and may reject non-numeric types. 复制 内置函数sum是用 C 编...
def__str__(self):returnstr(tuple(self))# ⑤ def__bytes__(self):return(bytes([ord(self.typecode)])+# ⑥bytes(array(self.typecode,self)))# ⑦ def__eq__(self,other):returntuple(self)==tuple(other)# ⑧ def__abs__(self):returnmath.hypot(self.x,self.y)# ⑨ def__bool__(self...
= np.fft.fft2(img) #the image 'img' is passed to np.fft.fft2() to compute its 2D Discrete Fourier transform f mag = 20*np.log(np.abs(f))plt.imshow(mag, cmap = 'gray') #cmap='gray' parameter to indicate that the image should be displayed in grayscale.plt.title('Magnitude ...
, cols/2# 首先创建一个掩码，中心正方形为1，其余全为零mask = np.zeros((rows,cols,2),np.uint8)mask[crow-30:crow+30, ccol-30:ccol+30] = 1# 应用掩码和逆DFTfshift = dft_shift*maskf_ishift = np.fft.ifftshift(fshift)img_back = cv.idft(f_ishift)img_back = cv.magnitude(img_...
调用crop()方法即可从一幅图像中进行区域拷贝,拷贝出区域后,可以对区域进行旋转等变换。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 box=(100,100,400,400)region=pil_im.crop(box) 目标区域由四元组来指定,坐标依次为(左,上,右,下),PIL中指定坐标系的左上角坐标为(0,0),可以旋转后利用paste()...
magnitude = sqrt(imx**2+imy**2) plt.figure(figsize=(18,12)) plt.gray() plt.subplot(131) plt.imshow(imx) plt.axis('off') plt.subplot(132) plt.imshow(imy) plt.axis('off') plt.subplot(133) plt.imshow(magnitude) plt.axis('off') ...
模(Magnitude):复数的模可以使用abs()函数计算,返回复数到原点的距离,即sqrt{a^2 + b^2}。 相位(Phase):可以使用cmath.phase()函数计算复数的相位,即复数向量和正实轴之间的角度。需要先import cmath模块。 import cmath a = 1 + 1j b = complex(3, 4) # 打印实部和虚部 print("实部:", b.real)...
(path) import numpy as np from PIL import Image import matplotlib.pyplot as plt image_path = "/content/01_L.bmp" image = np.array(Image.open(image_path).convert("L")) # Convert to grayscale # Visualize the magnitude of coefficients magnitude_image = np.abs(scattering_coeffs[0]) # ...