import SimpleITK as sitk import matplotlib.pyplot as plt # 读取dicom文件 file_path = "path_to_dicom_file.dcm" image = sitk.ReadImage(file_path) # 生成图片 plt.imshow(sitk.GetArrayViewFromImage(image), cmap=plt.cm.Greys_r) # 去掉图片四周的黑色边框 cropped_image = sitk.Crop(image, [10...
裁剪图像我们可以使用带有所需矩形参数的crop()函数从图像中裁剪相应区域,如下代码所示:im_c = im.crop((175,75,320,200)) # crop the rectangle given by (left, top, right, bottom) from the image im_c.show()下图显示了使用前面代码创建的裁剪图像:调整图像大小为了增加或减少图像的大小,我们可以使用r...
裁剪图像 我们可以使用带有所需矩形参数的crop()函数从图像中裁剪相应区域,如下代码所示: 代码语言:javascript 代码运行次数:0 运行 复制 im_c = im.crop((175,75,320,200)) # crop the rectangle given by (left, top, right, bottom) from the image im_c.show() 下图显示了使用前面代码创建的裁剪图像...
我们可以使用带有所需矩形参数的crop()函数从图像中裁剪相应区域,如下代码所示: im_c = im.crop((175,75,320,200)) # crop the rectangle given by (left, top, right, bottom) from the image im_c.show() 下图显示了使用前面代码创建的裁剪图像: 调整图像大小 为了增加或减少图像的大小,我们可以使用r...
打开一个图像文件im=Image.open('example.jpg')# 裁剪图像cropped_im=im.crop((50,50,200,200))#...
radiomics.imageoperations.cropToTumorMask(imageNode, maskNode,boundingBox, padDistance=0 输入参数: BoundingBox:checkMask()返回的bounding box,用于确定裁剪后的图像大小。 Label:label的值 返回值: 裁剪后的image和Mask(SimpleITK类型) radiomics.imageoperations.resampleImage(imageNode, maskNode,resampledPixelSpac...
box = (100, 100, 400, 400) region = im.crop(box) region.save("图像局部.jpg")将两张图片...
pip install SimpleITK !pip install pydicom 1. 2. 3. 4. 5. Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting pynrrd Downloading https://pypi.tuna.tsinghua.edu.cn/packages/83/77/afb60173b5247431cd93ef226ab0568c4ef6771c7e4db733d03cb0485e9e/pynrrd-0.4.3-py2.py3...
image = crop_img(image, bbox) # Resize到固定高度 if target_height is not None: target_width = int(float(target_height) / image.shape[0] * image.shape[1]) roi_mask = cv2.resize(roi_mask, dsize=(target_width, target_height), interpolation=cv2.INTER_CUBIC) ...
You may also want to check out all available functions/classes of the module SimpleITK , or try the search function . Example #1Source File: crop_transform.py From 3D-CNNs-for-Liver-Classification with Apache License 2.0 10 votes def _transform(dcm_dir,save_dir): ### from dcm to nii...