What does image mean in c++

In C, "image" refers to image data stored in computer memory, usually represented as a two-dimensional array or matrix containing pixel values. Although the C standard library does not provide classes or functions specialized in image processing, third-party libraries such as OpenCV provide the "Image" class, which has methods and functions for creating, setting properties, and processing images.

The meaning of image in C

In C, image refers to the image data stored in the computer memory . It is usually a two-dimensional array or matrix, with each element representing a pixel value at a specific location in the image.

Image class

C The standard library does not provide specialized classes or functions for processing images. However, various third-party libraries provide a wide range of classes and functions for image processing. One of the most common libraries is OpenCV, which contains an Image class that provides various image processing operations.

Creation of Image Object

To create an Image object, you can use OpenCV's imread() function, which reads the image from the file and loads it into the Image object middle. You can also manually create an Image object in the program by specifying the width, height, and number of channels of the image, and then filling the pixel values ​​into a two-dimensional array.

Properties of the Image object

The Image object has the following key properties:

• Width: The horizontal pixels of the image number.
• Height: The number of vertical pixels of the image.
• Number of channels: The number of channels contained in each pixel of the image (usually 1 (grayscale image) or 3 (RGB image)).
• Data type: The underlying data type to store the pixel value (for example, uint8 or float).

Processing of Image object

The Image object provides various methods and functions for image processing, including:

• Reading and writing pixel values ​​
• Convert color space (e.g., RGB to grayscale)
• Resize image (zoom and crop)
• Apply filters (e.g., Gaussian blur and edge detection)
• Drawing shapes, lines and text

Other uses

In addition to image processing, image can also For other purposes, for example:

• As input to a neural network model
• Display in a graphical user interface
• For computer vision tasks (e.g., object detection and Face recognition)

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