Crack detection using image processing:a critical review and analysis. MOHAN A,POOBAL S. Alexandria Engineering Journal . 2017A. Mohan and S. Poobal, "Crack detection using image processing: A critical review an
Crack detection using image processing methods have three major steps: image acquisition, pre-processing, and crack detection12. The target component is first photographed in high quality with a camera or any other imaging instrument. The next step in the pre-processing is to eliminate noise and ...
There have been several attempts, in the model-based approach, to improve the reliability of crack detection using image pre-processing and different kinds of spatial smoothing. This can reduce image noise and hence improve the crack detection results. Pre-processing steps may include median filters...
This paper puts forward the research and implementation of crack detection method based on image processing, and studies image prepro-cessing, image segmentation and image edge detection. Highway crack detection is simulated by Matlab program, and clear and discernible crack features are obtained. ...
Based on an edge detection technique to avoid the bad conditions of image acquisition and an examination algorithm to verify the presence of high concentration of cracking pixels, this approach allows in a first step to select pixels that have great probability of belonging to a crack. Indeed, ...
aDetection Crack in Concrete Image Using Otsu method and Multiple Filtering in Image Processing Techniques 正在翻译,请等待...[translate]
In practice, many cracks, e.g., pavement cracks, show poor continuity and low contrast, which bring great challenges to image-based crack detection by using low-level features. In this paper, we propose DeepCrack-an end-to-end trainable deep convolutional neural network for automatic crack ...
Miyamoto. Proposal of a crack pattern extraction method from digital images using... T. Yamaguchi et al. Percolation approach to image-based crack detection Amer Hassan, Mohammed Arif and M. Shariq, Effect of Curing Condition on the Mechanical Properties of Fly Ash based... Amer Hassan, ...
First, the image is converted to a binary image using a cluster analysis method; noise in the binary image is removed; and crack spaces are fused. Then, the medial axis of the crack network is extracted from the binary image, with which nodes and crack segments can be identified. Finally...
Note: please cite the corresponding papers when using these datasets. CRACK500: @inproceedings{zhang2016road, title={Road crack detection using deep convolutional neural network}, author={Zhang, Lei and Yang, Fan and Zhang, Yimin Daniel and Zhu, Ying Julie}, booktitle={Image Processing (ICIP)...