@linriguang
github

linriguang

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  • Stars
    star
    13
  • Global Rank 834,067 (Top 29 %)
  • Followers 3
  • Following 4
  • Registered about 8 years ago
  • Most used languages
    Python
         33.3 %
    MATLAB
         33.3 %
    Jupyter Notebook
         33.3 %

Top repositories

1

An-image-encryption-scheme-based-on-Lorenz-Hyperchaotic-System-and-RSA-algorithm

This research proposes a new image encryption scheme based on Lorenz hyperchaotic system and Rivest-Shamir-Adleman (RSA) algorithm. Firstly, the initial values of the Lorenz hyperchaotic system are generated by RSA algorithm, and the keystream is produced iteratively. In order to change the position and gray value of the pixel, the image data are hidden by additive mode diffusion. Secondly, the diffusion image matrix is reshaped into a one-dimensional image matrix, which is confused without repetition to hide the image data again. Then, the finite field diffusion algorithm is executed to realize the third hiding of the image information. In order to diffuse the pixel information into the entire cipher image, the additive mode diffusion algorithm needs to be looped twice. Finally, the cipher image can be obtained. The experimental results prove that the image encryption scheme proposed in this research is effective, and has strong anti-attack and key sensitivity. Moreover, the security of this encryption scheme relies on the RSA algorithm, which has high security.
MATLAB
10
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2

lihang-Machine-Learning-code

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Jupyter Notebook
1
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3

Tumor-segmentation-on-CT-images

In medical diagnosis, it is of great significance to use CT images to determine the location and size of tumors and determine whether tumor metastasis occurs. The goal of this case is to segment the tumor area from the existing CT images. The tumor area is drawn by a professional doctor and can be used as a label.
Python
1
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4

Research-and-Application-of-Fishing-Boat-s-Detection-and-Recognition-based-on-Deep-Learning

This repository has carried out a certain exploratory research on the subject of deep learning-based fishing boat brand recognition. The main work is summarized as follows:
1
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