Mahotas 简明教程

Mahotas - Creating RGB Image

RGB 图像是一种使用红、绿和蓝颜色模型来表示颜色的数字图像。RGB 图像中的每个像素由三个颜色通道表示：红色、绿色和蓝色，它们存储每个颜色的强度值（范围从 0 到 255）。

An RGB image is a type of digital image that uses the red, green, and blue color model to represent colors. Each pixel in an RGB image is represented by three color channels− red, green, and blue, which store the intensity values (ranging from 0 to 255) for each color.

例如，三个通道（255, 255, 255）中的全部强度代表白色，而三个通道（0, 0, 0）中的零强度代表黑色。

For example, a pixel with full intensity in all three channels (255, 255, 255) represents white, while a pixel with zero intensity in all three channels (0, 0, 0) represents black.

Creating RGB Images in Mahotas

Mahotas 中的 RGB 图像是形状为（h、w、3）的三维数组；其中 h 和 w 是图像的高度和宽度，3 表示三个通道：红色、绿色和蓝色。

An RGB image in Mahotas is a 3−dimensional array of shape (h,w,3); where h and w are the height and width of the image, and 3 represents the three channels: red, green, and blue.

要使用 Mahotas 创建 RGB 图像，您需要定义图像的尺寸，使用所需尺寸创建一个空 Numpy 数组，并设置每个通道的像素值。

To create an RGB image using Mahotas, you need to define the dimensions of your image, create an empty numpy array with the desired dimensions, and set the pixel values for each channel.

Example

以下是一个在 mahotas 中从红色到绿色水平渐变和从蓝色到白色垂直渐变的示例：

Following is an example to create a gradient RGB image from red to green horizontally and blue to white vertically in mahotas −

import mahotas as mh
import numpy as np
from pylab import imshow, show
# Define the dimensions of the image
width = 200
height = 150
# Create an empty numpy array with the desired dimensions
image = np.zeros((height, width, 3), dtype=np.uint8)
# Set the pixel values for each channel
# Here, we'll create a gradient from red to green horizontally and blue to
white vertically
for y in range(height):
   for x in range(width):
      # Red channel gradient
      r = int(255 * x / width)
      # Green channel gradient
      g = int(255 * (width - x) / width)
      # Blue channel gradient
      b = int(255 * y / height)
      # Set pixel values
      image[y, x] = [r, g, b]
# Save the image
mh.imsave('rgb_image.png', image)
# Display the image
imshow(image)
show()

以下是上述代码的输出 −

Following is an output of the above code −

creating rgb image

Creating an RGB Image from Color Intensities

颜色强度是指表示图像中每个颜色通道的强度或大小的值。高强度值会导致更鲜艳或更饱和的颜色，而低强度值会导致更暗或较不饱和的颜色。

Color intensities refer to the values that represent the strength or magnitude of each color channel in an image. Higher intensity values result in brighter or more saturated colors, while lower intensity values result in darker or less saturated colors.

要使用 Mahotas 根据颜色强度创建 RGB 图像，您需要创建表示红色、绿色和蓝色颜色通道强度的单独数组。这些数组应具有与所需输出图像相同的尺寸。

To create an RGB image from color intensities using Mahotas, you need to create separate arrays representing the intensities for the red, green, and blue color channels. These arrays should have the same dimensions as the desired output image.

Example

在以下示例中，我们正在从随机生成的颜色强度创建一个随机 RGB 噪声图像：

In the following example, we are creating a random RGB noise image from randomly generated color intensities −

import mahotas as mh
import numpy as np
from pylab import imshow, show
# Create arrays for red, green, and blue color intensities
red_intensity = np.random.randint(0, 256, size=(100, 100), dtype=np.uint8)
green_intensity = np.random.randint(0, 256, size=(100, 100), dtype=np.uint8)
blue_intensity = np.random.randint(0, 256, size=(100, 100), dtype=np.uint8)
# Stack color intensities to create an RGB image
rgb_image = np.dstack((red_intensity, green_intensity, blue_intensity))
# Display the RGB image
imshow(rgb_image)
show()

执行上面的代码后，我们得到以下输出： -

After executing the above code, we get the following output −

image color intensities

Creating an RGB Image from a Single Color

要从单一颜色创建 RGB 图像，您可以使用所需的尺寸初始化一个数组，并为每个像素分配相同的 RGB 值。这导致整个图像中统一的色彩外观。

To create an RGB image from a single color, you can initialize an array with the desired dimensions and assign the same RGB value to each pixel. This results in a uniform color appearance throughout the image.

Example

在这里，我们通过使用 RGB 值 (0, 0, 255) 将颜色设置为蓝色来创建单色图像：

In here, we are creating a single color image by setting the color to blue using the RGB values (0, 0, 255) −

import mahotas as mh
import numpy as np
from pylab import imshow, show
# Define the dimensions of the image
width, height = 100, 100
# Create a single color image (blue in this case)
blue_image = np.full((height, width, 3), (0, 0, 255), dtype=np.uint8)
# Display the blue image
imshow(blue_image)
show()

获得的图像如下所示：

The image obtained is as follows −

image single color