yuhan19971211 / Detection-of-Road-Surface-Crack-Based-on-PYNQ
This project aims at the problem of road surface image denoising and crack recognition by using embedded camera. Using Gaussian filter to blur the image, over the threshold zero processing and the morphology on and off operation are binarization and further denoising. And the crack contour is marked by FAST feature point recognition, which reach…
☆9Updated 9 months ago
Related projects: ⓘ
- A Deep Residual U-Net like architecture for Crack segmentation in concrete structures.☆9Updated 4 years ago
- An application FCN for crack recogntion using tensorflow☆46Updated 6 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆53Updated 8 months ago
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆34Updated last year
- Concrete crack pixel semantic dataset☆9Updated 5 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆244Updated 10 months ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆151Updated 9 months ago
- Deep Learning Model for Crack Detection and Segmentation☆130Updated 3 months ago
- Pavement surface crack datasets for DL based crack detection☆54Updated 2 years ago
- ☆17Updated this week
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆213Updated last year
- Concrete Crack and Spalling Detection using Deep Neural Network☆69Updated 5 years ago
- A Unet based modified architecture for crack detection☆34Updated 4 years ago
- CrackDetection for both pavement and concrete meterials☆13Updated 4 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆122Updated 3 weeks ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 4 years ago
- Our industrial project is on 'Intelligent Road Crack Detection using Deep Learning' where we create an artificial intelligence (AI) syste…☆22Updated 3 years ago
- ☆29Updated 5 years ago
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspect…☆45Updated 7 months ago
- ☆333Updated 3 months ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆21Updated 5 years ago
- ☆10Updated 3 years ago
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation☆15Updated last year
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Ti…☆369Updated 4 months ago
- Crack detection for concrete structure using Matlab☆30Updated 7 years ago
- TenserFlow Keras☆21Updated last year
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆46Updated 6 months ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆20Updated 3 years ago
- SCCDNet: A pixel-level crack segmentation network☆10Updated 3 years ago