Practical applications of MATLAB machine vision toolbox

Practical applications of MATLAB machine vision toolbox

With the rapid development of computer vision, machine vision technology is increasingly used in various fields. The MATLAB Machine Vision Toolbox is a powerful tool that helps developers and researchers perform image processing and computer vision tasks in the MATLAB environment. This article will introduce some practical applications of MATLAB machine vision toolbox and provide corresponding source code.

1. Image Processing
   Image processing is one of the most common tasks in machine vision. The MATLAB machine vision toolbox provides a wealth of image processing functions and algorithms, which can be used for image enhancement, filtering, segmentation and other operations. Here is a simple example showing how to grayscale an image using the MATLAB Machine Vision Toolbox:

% 读取图像
img = imread('image.jpg');

% 将图像转换为灰度图
grayImg = rgb2gray(img);

% 显示原始图像和灰