Programmer Think

1, Introduction to image denoising and filtering 1 image denoising 1.1 definition of image noise Noise is an important factor that interferes with the visual effect of image. Image denoising refers to the process of reducing noise in image. There are three kinds of noise classification: additive noise, multiplicative noise and quantization noi ...

This chapter introduces two interesting cases of MATLAB image processing: "counting coins" and "Mona Lisa's cat". (12.1) counting coins Requirement Description: now there is a picture coins Png, it is required to count the number of coins in the picture with MATLAB. Switch the current folder of MATLAB t ...

(1.1) common functions clc; %Clear screen clear; %Clear workspace variables %Output display settings format short; %Keep four decimal places(default) format short e; %5 Significant digit plus 3-digit index format long; %Display 16 significant digits format long e; %16 Significant digit plus 3-digit index format bank; %Keep 2 decimal plac ...

Simulation of PLUTO image communication based on QPSK modulation West power communication principle operation (it is recommended to debug the code in MATLAB while reading the article, and deeply understand the operation of the system through the conversion of data length and type of variables in the work area) Specific codes, reports, ppts and ...

1, Introduction (with lunwen and defense PPT) 1 topic content Metal plate is widely used in all aspects of industrial production and production life. Due to the influence of equipment, process and other factors involved in the metal plate manufacturing process, there are many kinds and different forms of defects on the metal plate surface. The ...

1, Introduction of BP neural network traffic sign recognition Road traffic signs are used to prohibit, warn, instruct and restrict road users to use roads in an orderly manner to ensure travel safety If the road traffic signs can be recognized automatically, the occurrence of road traffic accidents will be greatly reduced However, due to the c ...

I. Introduction to BP neural network prediction algorithm Note: Section 1.1 is mainly to summarize and help understand the principle of BP neural network algorithm considering influencing factors, that is, the explanation of conventional BP model training principle (whether to skip according to their own knowledge). Section 1.2 begins with the ...

Taking the example of issue 16 as an example, we select Matlab and Excel to explain how to realize the general simplex method, large M method and two-stage method. The topics are as follows: 1, Matlab solution As one of the most popular scientific computing software, MATLAB is widely used in data analysis, wireless communication, deep lea ...

1, Introduction (with lunwen and defense PPT) 1 topic content Metal plate is widely used in all aspects of industrial production and production life. Due to the influence of equipment, process and other factors involved in the metal plate manufacturing process, there are many kinds and different forms of defects on the metal plate surface. The ...

1, Introduction 1 concept of particle swarm optimization Particle swarm optimization (PSO) is an evolutionary computing technology, which originates from the research on the predation behavior of birds. The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation and information sharing among ...