Unimodal thresholding for Laplacian-based Canny–Deriche filter

Nashat, S.; Abdullah, Azizi; Abdullah, Mohd Zaid

doi:10.1016/j.patrec.2012.03.023

Cited by 22 publications

(10 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…x is the size of one pixel in the image pixel coordinate system in the image physical coordinate system. Assuming that the longitudinal target distance of lane line detection is D, according to formula (23) and formula (24), the vertical coordinates of the upper boundary y up and the lower boundary y down of ROI in the image are respectively:…”

Section: Analysis and Verification Of Algorithm Detection Effectmentioning

confidence: 99%

Lane line recognition based on improved 2D-gamma function and variable threshold Canny algorithm under complex environment

Zhang

Liang

Jiang

et al. 2020

Measurement and Control

View full text Add to dashboard Cite

The visual guidance of AGV (automated guided vehicle) has gradually become one of the most important perception methods. Aiming at the problem that it is difficult to extract lane line accurately when AGV is running in complex working environment (such as uneven illumination, overexposure, lane line is not obvious, etc.), a scheme of lane line recognition under complex environment is proposed. Firstly, the variable scale image correction is carried out for the uneven illumination area in ROI (region of interest), and the threshold of Canny algorithm is adjusted adaptively according to the luminance of ROI region by Fuzzy-Canny algorithm; Secondly, the edge points matching the lane width feature are extracted by the way of aerial view. Finally, the curve fitting method based on RANSAC (Random Sample Consensus) is used to fit a curve with the lowest error rate and then get the lane center curve. The experimental results show that the processing algorithm used in this paper is feasible and effective, has strong robustness and fast computing performance, and can meet the requirements of intelligent AGV in various complex environments.

show abstract

Section: Analysis and Verification Of Algorithm Detection Effectmentioning

confidence: 99%

Lane line recognition based on improved 2D-gamma function and variable threshold Canny algorithm under complex environment

Zhang

Liang

Jiang

et al. 2020

Measurement and Control

View full text Add to dashboard Cite

show abstract

“…where μ and σ are the mean and the standard deviation of the gray level intensity of the input image, respectively, and α is a scaling factor. In the first stage, we adopted a similar approach based on double thresholding technique described in Nashat et al [14]. This method requires I Δ (x, y) to be segmented twice, first using a high threshold value τ S and second using a low threshold value τ T .…”

Section: Post-processingmentioning

confidence: 99%

Micro-crack detection of multicrystalline solar cells featuring an improved anisotropic diffusion filter and image segmentation technique

2014

View full text Add to dashboard Cite

This paper presents an algorithm for the detection of micro-crack defects in the multicrystalline solar cells. This detection goal is very challenging due to the presence of various types of image anomalies like dislocation clusters, grain boundaries, and other artifacts due to the spurious discontinuities in the gray levels. In this work, an algorithm featuring an improved anisotropic diffusion filter and advanced image segmentation technique is proposed. The methods and procedures are assessed using 600 electroluminescence images, comprising 313 intact and 287 defected samples. Results indicate that the methods and procedures can accurately detect micro-crack in solar cells with sensitivity, specificity, and accuracy averaging at 97%, 80%, and 88%, respectively.

show abstract

“…The edge detection method like canny edge detector [1] is very useful for detecting the different edges of the object. A canny edge detector based vehicle plate detection method is also used by [2].…”

Section: Review Of Existing Techniquesmentioning

confidence: 99%

A Novel Approach for Detecting Number Plate Based on Overlapping Window and Region Clustering for Indian Conditions

Patel¹,

Patel²,

Shah³

2015

IJIGSP

View full text Add to dashboard Cite

Abstract-Automatic Number Plate Recognition (ANPR) is becoming very popular and topic of research for the Intelligent Transportation System (ITS). Many researchers are working in this direction, as it is the topic of interest. In proposed system, we have presented a novel approach for number plate (NP) detection, which can be useful for Indian conditions. The system works well in different illumination conditions and 24 hours manner. Experiments achieved excellent accuracy of 98.88% of overall accuracy of NP detection on 90 vehicle images with different conditions and captured at different timing during day and night. Out of these 90 images, 89 images were segmented successfully. The minimum image size was 800 X 600 pixels. The system was developed using the Microsoft .NET 3.5 framework and Visual Studio 2008 as IDE with the Intel core i3 2.13 GHz processor having 3 GB RAM. Other systems discussed in this paper reported better processing time of less than 1s, but some of these systems work under restricted conditions and accuracy is also not as good as our system.

show abstract

Unimodal thresholding for Laplacian-based Canny–Deriche filter

Cited by 22 publications

References 19 publications

Lane line recognition based on improved 2D-gamma function and variable threshold Canny algorithm under complex environment

Lane line recognition based on improved 2D-gamma function and variable threshold Canny algorithm under complex environment

Micro-crack detection of multicrystalline solar cells featuring an improved anisotropic diffusion filter and image segmentation technique

A Novel Approach for Detecting Number Plate Based on Overlapping Window and Region Clustering for Indian Conditions

Contact Info

Product

Resources

About