WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
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Updated
Sep 20, 2024 - MATLAB
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
Complex-valued Convolutional Neural Networks
Paddy Leaf Disease Detection Using SVM Classifier - Matlab Code
Face Spoofing Detection Using Texture Analysis
This demo shows how to detect the crack images using one-class SVM using MATLAB.
This repository shows how to import a pretrained TensorFlow model in the SavedModel format, and use the imported network to classify an image.
Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"
Diagnosis of diabetic retinopathy from fundus images using SVM and decision trees.
This comprehensive collection covers everything from the foundational basics to advanced techniques related to MATLAB. I will try to cover the basic introduction, looping, plotting, image processing, and some concepts of machine learning.
An automated production line visual inspection project for the identification of faults in Coca-Cola bottles leaving a production facility
Image classification for Recyclables
A novel deep hashing method (DHCNN) for remote sensing image retrieval and classification, which was pulished in IEEE Trans. Geosci. Remote Sens., 2021.
Multi-layer online sequential extreme learning machines for image classification
《基于多特征融合的稻叶病图像识别系统》 基于机器学习和深度学习算法开发了一个稻叶病图像识别系统,基于颜色特征分割提取稻叶病图像病斑,提取颜色、形状、纹理等多个病斑图像特征维度,基于MCCA多视图典型相关分析进行特征融合得到集成特征,基于CNN、SVM进行稻叶病图像分类,进行了多个分类器对比实验,提高了稻叶病识别准确率和速度;校重点大学生科创基金项目,项目获第十一届“挑战杯”校大学生课外学术科技作品竞赛三等奖。
The demo partially associated with the following papers: "Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images" and "Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image Classification".
Computer Vision @ UIUC
ConvMixer - Patches Are All You Need?
Bag-of-Features model for image classification (Octave)
Use of edge detection method in images by using ant colony algorithm.
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