C Language Pixel Data Reading and Analysis in Image Recognition and Analysis: Custom Algorithm Implementation Without Third-Party Libraries, Explained in Practice as per Gonzalez's "Digital Image Processing"

# 1. Introduction

## Background Information

In today's digital information age, image processing and analysis have become crucial research areas in artificial intelligence and computer vision. The reading and analysis of image data is one of the core processes, and C language, as a low-level programming language, offers flexibility and efficiency in operating image data. This article delves into how to read image pixel data using C language.

## Research Significance

By reading and analyzing image data, applications such as image recognition and image processing can be realized, involving fields like face recognition, license plate recognition, and image denoising. This is significant for improving the effectiveness of image processing algorithms.

## Research Objective

The purpose of this article is to explore how to use C language to read image pixel data, combine practical cases for image recognition and analysis, and demonstrate the application of C language in the field of image processing through the design and practice of custom image analysis algorithms.

## Overview of Article Structure

This article is divided into sections including the introduction, image data structure and reading, fundamental analysis of image pixel data, design of custom image analysis algorithms, practical image recognition and analysis, and conclusion and outlook. It sequentially introduces the storage structure of image data, the basic principles and implementation methods of reading image pixel data using C language, image data processing methods, the design and implementation of custom algorithms, and the process of image recognition and analysis with practical cases. The research findings are summarized, and future research directions are discussed.

# 2. Image Data Structure and Reading

Images are composed of pixels, with each pixel containing different color information. The structure of image data determines the storage method of pixel data. In this chapter, we will introduce the storage structure of image data and the basic principles and implementation methods of reading image pixel data using C language.

### Image Data Storage Structure

Image data is typically stored in the form of a matrix, with each pixel's color value represented as a tuple, including the values of red (R), green (G), and blue (B) ***mon image storage formats include Bitmap (BMP), JPEG, PNG, etc.

### Basic Principles of Reading Image Pixel Data with C Language

In C language, we can obtain image pixel data by reading image files. By opening the file, reading file header information, etc., we can obtain the image's width, height, and pixel data.

### Implementation of Image Data Reading with C Language

#include <stdio.h>
#include <stdlib.h>

int main() {
     FILE *imageFile;
     imageFile = fopen("image.bmp", "rb");

     // Read file header information
     // Get image width, height, etc.

     // Read pixel data
     unsigned char pixelData[width * height * 3];
     fread(pixelData, sizeof(unsigned char), width * height * 3, imageFile);

     fclose(imageFile);

     // Process and analyze pixel data

     return 0;
}

In this code snippet, we open the image file named "image.bmp", read the pixel data, and proceed with further processing and analysis.

# 3. Fundamental Analysis of Image Pixel Data

In the field of image processing, understanding the basics of image pixel data is essential. This chapter introduces the foundational knowledge, processing methods, and commonly used image processing algorithms, providing readers with an in-depth understanding of image analysis.

**Basic Concepts of Image Pixel Data**

- Images are composed of individual pixels, each containing the information of a small point on the image. Typically, each pixel is repre