subplot(2,3,1);imshow(fig0,[]);title('original') subplot(2,3,2);imshow(fig1,[]);title('low pass filter') subplot(2,3,3);imshow(fig2,[]);title('gaussian filter') subplot(2,3,4);imshow(fig5,[]);title('median filter') subplot(2,3,5);imshow(im2uint8(fig7));title('sharpe...
另外,需要注意的是,矩阵所有的值加起来要是0. 2.4、浮雕Embossing Filter 浮雕滤波器可以给图像一种3D阴影的效果。只要将中心一边的像素减去另一边的像素就可以了。这时候,像素值有可能是负数,我们将负数当成阴影,将正数当成光,然后我们对结果图像加上128的偏移。这时候,图像大部分就变成灰色了。 下面是45度的浮雕...
# starttime = datetime.datetime.now() density += filters.gaussian_filter(pt2d, sigmas[i], mode='constant') # endtime = datetime.datetime.now() # # interval = (endtime - starttime) # print(interval) return density def create_density(gts, d_map_h, d_map_w): res = np.zeros(shap...
2. 运行下面的代码(比如spyder) """Created on Fri Mar 20 11:17:17 2020@author: MA"""importnibabelasnibfrommyviimportmyviimportnumpyasnpimportscipy.ndimageasndimg# get img data and spacingnii=nib.load(r'path to\data\organ.nii.gz')imgs=nii.get_data()zoom=nii.header.get_zooms()# smooth...
filtered version of the image (3D array) '''importnumpyasnpimportmahotasasmh Tg = im > im.mean() T2g = im > (im.mean() +2*im.std()) zim = im-im.mean() zim /= im.std() z8 = mh.gaussian_filter(zim,8) z4 = mh.gaussian_filter(zim,4) ...
2.1 使用 fourier_gaussian() 函数 使用scipy.ndimage库中的fourier_gaussian()函数在频域中使用高斯核执行卷积操作。 (1)首先,读取输入图像,并将其转换为灰度图像,并通过使用FFT获取其频域表示: importnumpyasnpimportnumpy.fftasfpfromskimage.ioimportimreadimportmatplotlib.pyplotaspltfromscipyimportndimage ...
threshold():二值化,但要指定设定阈值 blendLinear():两幅图片的线形混合 calcHist() createBoxFilter ():创建一个规范化的2D框过滤器 canny边缘检测 createGaussianFilter():创建一个Gaussian过滤器 createLaplacianFilter():创建一个Laplacian过滤器 createLinearFilter():创建一个线形过滤器 createMorphologyFilter(...
示例1: filter_cubemap ▲点赞 6▼ # 需要导入模块: from panda3d.core import PNMImage [as 别名]# 或者: from panda3d.core.PNMImage importgaussian_filter[as 别名]deffilter_cubemap(orig_pth):ifnotos.path.isdir("Filtered/"): os.makedirs("Filtered/")# Copy original cubemapforiinrange(6):...
img_d1 = GaussianHighFilter(img,10) img_d2 = GaussianHighFilter(img,30) img_d3 = GaussianHighFilter(img,50) plt.subplot(131) plt.axis("off") plt.imshow(img_d1,cmap="gray") plt.title('D_1 10') plt.subplot(132) plt.axis("off") ...
figaspect(0.5)) pressfc_smooth=gaussian_filter(pressfc,sigma=1) ax=plt.gca(projection='3d') surf=ax.plot_surface(xlon,ylat,tp,cmap="coolwarm",alpha=1, rstride=1,cstride=1, linewidth=0, antialiased=False) ax.plot_surface(xlon,ylat,pressfc_smooth/100,color="lightgray", rstride=1,c...