"""importmatplotlib.pyplotaspltfromskimageimportdatafromskimageimportcolorfromskimageimportimg_as_float grayscale_image = img_as_float(data.camera()[::2, ::2]) image = color.gray2rgb(grayscale_image) red_multiplier = [1,0,0] yellow_multiplier = [1,1,0] fig, (ax1, ax2) = plt.subplo...
# 1.将灰度图像转换为RGB图像 image = color.gray2rgb(grayscale_image) # 2.保留红色分量和黄色分量 red_multiplier = [1, 0, 0] yellow_multiplier = [1, 1, 0] # 3.显示图像 fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(8, 4), sharex=True, sharey=True) ax1.imshow(red_mul...
grayscale_image=img_as_float(data.camera()[::2,::2])image=color.gray2rgb(grayscale_image)red_multiplier=[1,0,0]yellow_multiplier=[1,1,0]fig,(ax1,ax2)=plt.subplots(ncols=2,figsize=(8,4),sharex=True,sharey=True)ax1.imshow(red_multiplier*image)ax2.imshow(yellow_multiplier*image)...
例子: >>> from skimage.color import rgb2gray >>> from skimage import data >>> img = data.astronaut() >>> img_gray = rgb2gray(img)相关用法 Python skimage.color.rgb2rgbcie用法及代码示例 Python skimage.color.rgb2xyz用法及代码示例 Python skimage.color.rgb2hsv用法及代码示例 Python skimage....
img = img[0]iflen(img.shape) ==2: img = skimage.color.gray2rgb(img)try:returnimg.astype(np.float32) /255.0exceptException:print(path) exit(0) 开发者ID:tristandb,项目名称:EfficientDet-PyTorch,代码行数:17,代码来源:oid_dataset.py
num_peaks = 2 peaks =feature.peak_local_max(h, num_peaks=num_peaks) #取出峰值 centers.extend(peaks) accums.extend(h[peaks[:, 0], peaks[:, 1]]) radii.extend([radius] * num_peaks) #画出最接近的5个圆 image = color.gray2rgb(image) ...
# 1.将灰度图像转换为RGB图像 image = color.gray2rgb(grayscale_image)# 2.保留红⾊分量和黄⾊分量 red_multiplier = [1, 0, 0]yellow_multiplier = [1, 1, 0]# 3.显⽰图像 fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(8, 4),sharex=True, sharey=True)ax1.imshow(red_...
ax2.imshow(image, plt.cm.gray) row1, col1= image.shapefor _, angle, distinzip(*st.hough_line_peaks(h, theta, d)): y0=(dist-0* np.cos(angle))/ np.sin(angle) y1=(dist- col1* np.cos(angle))/ np.sin(angle) ax2.plot((0, col1),(y0, y1),'-r') ...
#将RGB图像转换为灰度图像gray_image=color.rgb2gray(image)# 转换为灰度图像 1. 2. color.rgb2gray(image):此函数将输入的RGB图像转换为灰度图像。 步骤5: 显示和保存转换后的图像 最后,我们可以使用matplotlib来显示转换后的图像,并使用io.imsave()来保存图像。以下是显示和保存图像的代码: ...
from skimage.color import rgb2gray img = imread('images.jpeg') img_new = rgb2gray(img) plt.subplot(121), imshow(img) plt.title('RGB Format') plt.subplot(122), imshow(img_new) plt.title('Grayscale Format') plt.show() 其他两种流行的格式是HSV(色调,饱和度,明度)和HSL(色调,饱和度,亮度...