One of VC Digital Image Processing programming lectures

One of VC Digital Image Processing programming lectures

Origin and Application of Digital Image Processing
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The Research of Digital Image Processing Methods comes from two main application fields: the first is to improve the image information for convenience of analysis; the second is to store, transmit, and display image data for automatic machine understanding.
One of the earliest applications of digital image processing was in the newspaper, when images first passed through the submarine cable from London. As early as 1920s, The bartlane cable Image Transmission System was introduced to reduce the time required to transmit an image across the Atlantic Ocean from more than one week to three hours. However, this transmission method does not take into account the results of digital image processing, mainly because it does not involve computers. Digital Image Processing requires a lot of storage and computing capabilities, therefore, it is necessary to rely on the development of digital computers and related technologies such as data storage, display and transmission.
The first large-scale computer that could execute meaningful image processing tasks appeared in the early 1960s S. The birth of digital image processing technology can be traced back to the use of these robots and the development of space projects during this period. These two major developments focus on the potential of digital image processing. Use computer technology to improve the image sent back by space detectors. It started in 1964 at the Jet Propulsion Laboratory in California. At that time, a computer was responsible for processing the lunar images transmitted by the travelsky 7 satellite to correct various types of image distortion in the spacecraft television camera for spatial application, digital image processing technology began to be used in medical images, Earth remote sensing monitoring, astronomy and other fields in the late 1960s s and early 1970s S. As early as 1970s, the computer axial tomography (CAT) was one of the most important applications of Image Processing in the field of medical diagnosis. Today, there are almost no technical fields irrelevant to digital image processing, typical problems are automatic character recognition, industrial machine vision for production lines and testing, military recognition, automatic fingerprint processing, classification of X-ray and blood samples, and aviation for weather forecasting and environmental identification. machine processing with satellite images.
Digital image processing is generally divided into two types: input and output are both images; input may be images, but output is the feature attribute extracted from images. The basic steps of digital image processing are summarized, but they do not mean that each step is used for image processing. A more precise purpose is to give a concept of all methods, these methods can be used for different purposes with different goals. The basic steps are as follows:
1. Image Acquisition
2. Image Enhancement
3. Image Restoration
4. Image Compression
5. Morphological Processing
6. Image Segmentation
7. Image Recognition
In fact, not all steps are required in some cases. Generally, as the complexity of image processing tasks increases, more processing is required to solve the problem. Each step will be described in detail in future posts

Application projects for image processing and recognition:

1. Two-dimensional Barcode ID Card System

System Overview: provides an anti-counterfeiting Method for ID cards, which requires difficulty in forging and reliable identification. Another point is convenience and low cost.
Main technologies:
Encoding and decoding of two-dimensional code
Image compression and Image Recognition

2. Clear images in a weak Visual Environment
This technique is used to process images acquired in very weak situations and obtain some details of the scene.

3. Authenticity Identification System of seals
Difficult to identify the authenticity of the seal is:
The seals stamped with the same seals are different;
High spoofing technology leads to high fidelity;
The certificate is stamped with a bottom-line voucher or document.

4. License Plate Recognition System
The Automatic License Plate Recognition System Based on Fuzzy recognition technology is the result of the development and application of computer and video technologies, the successful application of this technology in the transportation field makes it an important part of its.

5 Chinese Character Recognition