Matlab-Deep-Learning-Toolbox-CNN-Water-image-recognition
Water Segmentation Tool
A MATLAB-based system for water body segmentation and binary image generation using Convolutional Neural Networks
基于matlab深度学习工具箱来设计卷积神经网络用来对图像上的水体部分进行识别，并生成水体陆地二值化图像。采用的是9层卷积神经网络用来对图像进行特征提取和分类，水体识别的准确率可以达到96%以上。
52 stars
3 watching
8 forks
Language: MATLAB
last commit: over 4 years ago
Linked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 martinkersner/train-deeplab | Trains DeepLab model for semantic image segmentation using annotated data and various training procedures | 172 |
 zhengpeng7/birefnet | An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
 mitmul/ssai-cnn | Semantic segmentation using convolutional neural networks for aerial and satellite images | 260 |
 ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 430 |
 qingyonghu/randla-net | A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds | 1,327 |
 jimmy-ren/vcnn_double-bladed | An implementation of convolutional neural networks in Matlab, providing GPU-enabled vectorized processing for image recognition and processing tasks. | 136 |
 dvlab-research/lisa | A system that uses large language models to generate segmentation masks for images based on complex queries and world knowledge. | 1,923 |
 zhujun98/semantic_segmentation | Implementations of deep learning architectures for semantic segmentation of images in various datasets. | 6 |
 matlab-deep-learning/lidar-object-detection-using-complex-yolov4 | Provides pre-trained deep learning models for object detection in point clouds using complex YOLOv4 architecture | 22 |
 suhongjian/matlab-make-blurred-images-clear | A collection of image processing algorithms implemented in MATLAB | 45 |
| matlab-deep-learning/pretrained-efficientdet-d0 | Provides pre-trained and customizable object detection capabilities using an efficient neural network architecture | 15 |
| matlab-deep-learning/convmixer-patches-are-all-you-need | Demonstrates how to implement and train a ConvMixer architecture for image classification in MATLAB | 6 |
 hagaygarty/mdcnn | A MATLAB toolbox implementing 3D Convolutional Neural Networks for volumetric inputs with various features and pre-configured examples. | 53 |
| matlab-deep-learning/pretrained-salsanext | Provides pre-trained deep learning model for semantic segmentation of 3D point clouds using SalsaNext architecture | 14 |
| matlab-deep-learning/pretrained-yolo-v4 | Pretrained deep learning object detection model for image analysis in MATLAB | 50 |