Matlab calculates the area of a grayscale image

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The principle of calculating the area of ​​grayscale images is explained in detail:

Calculating the area of ​​a grayscale image refers to calculating the total number of pixels with a non-zero grayscale value in the image, which can also be understood as the total number of non-black pixels. The principle of calculating the area of ​​a grayscale image can be briefly described as follows:

  1. Read the image: First, you need to read the grayscale image to be processed.

  2. Thresholding: Threshold the grayscale image, setting pixels with a grayscale value greater than zero as white (255), and pixels with a grayscale value of zero as black (0).

  3. Calculate the area: Traverse each pixel of the processed image and count the number of non-black pixels (white pixels), which is the area of ​​the image.

  4. Output results: Output or save the calculated area.

Underlying architecture flow chart:

The underlying architecture flow chart for grayscale image area calculation is as follows:

开始 -> 读取灰度图像 -> 阈值处理 -> 计算非黑色像素数量 -> 输出结果 -> 结束

Usage scenario explanation:

Calculating the area of ​​a grayscale image in Image Processing and Calculation

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Origin blog.csdn.net/feng1790291543/article/details/132742549