Skewness correction and quality evaluation of plug seedling images based on Canny operator and Hough transform
J Tong, H Shi, C Wu, H Jiang, T Yang - Computers and Electronics in …, 2018 - Elsevier
The acquisition of quality information for plug seedlings is the foundation for automatic
seedling transplanting. Machine vision technology is an extensively used method for this …
seedling transplanting. Machine vision technology is an extensively used method for this …
Integration of computer vision and convolutional neural networks in the system for detection of rail track and signals on the railway
AD Petrović, M Banić, M Simonović, D Stamenković… - Applied Sciences, 2022 - mdpi.com
One of the most challenging technical implementations of today is self-driving vehicles. An
important segment of self-driving is the ability of the computer to “see/detect” objects of …
important segment of self-driving is the ability of the computer to “see/detect” objects of …
Edge detection in scanning electron microscope (SEM) images using various algorithms
GE Rani, R Murugeswari… - 2020 4th International …, 2020 - ieeexplore.ieee.org
In Image Processing Edge detection is very important. It is an essential technique to improve
image quality in various fields including medical, space, biological materials etc. Images are …
image quality in various fields including medical, space, biological materials etc. Images are …
Grasping control method of manipulator based on binocular vision combining target detection and trajectory planning
Y Han, K Zhao, Z Chu, Y Zhou - IEEE Access, 2019 - ieeexplore.ieee.org
In order to make the manipulator more accurately identify and grasp the target object, this
paper proposes a manipulator control method based on binocular vision. First, the rotation …
paper proposes a manipulator control method based on binocular vision. First, the rotation …
[PDF][PDF] Implementation of Data Mining Using Naïve Bayes Classifier in Food Crop Prediction
Purpose: This study aims to developed modeling to prediction system of food crops by data
mining, with Naïve Bayes Classifier (NBC), which expected will give information and can use …
mining, with Naïve Bayes Classifier (NBC), which expected will give information and can use …
Target positioning method in binocular vision manipulator control based on improved canny operator
Y Han, Z Chu, K Zhao - Multimedia Tools and Applications, 2020 - Springer
In order to improve the accuracy of binocular vision manipulator control, a target positioning
method based on improved Canny operator is proposed. First, the image acquired by the left …
method based on improved Canny operator is proposed. First, the image acquired by the left …
[PDF][PDF] A Combination of K-Means and Fuzzy C-Means for Brain Tumor Identification
Abstract Purpose: Magnetic Resonance Imaging is one of the health technologies used to
scan the human body in order to get an image of an orgasm in the body. MRI imagery has a …
scan the human body in order to get an image of an orgasm in the body. MRI imagery has a …
Comparative analysis of color edge detection for image segmentation
KW Mega, X Yu, J Li - Proceedings of the 2018 International Conference …, 2018 - dl.acm.org
Nowadays understanding of image processing and pattern recognition is the great focus to
develop an application of image segmentation. Edge detection is the fundamental technique …
develop an application of image segmentation. Edge detection is the fundamental technique …
Mixed region covariance discriminative learning for image classification on riemannian manifolds
X Liu, Z Ma, G Niu - Mathematical Problems in Engineering, 2019 - Wiley Online Library
Covariance matrices, known as symmetric positive definite (SPD) matrices, are usually
regarded as points lying on Riemannian manifolds. We describe a new covariance …
regarded as points lying on Riemannian manifolds. We describe a new covariance …
Image handling and processing for efficient parking space detection and navigation aid
CS Tutika, C Vallapaneni - arXiv preprint arXiv:1807.02424, 2018 - arxiv.org
This paper aims to develop a robust and flexible algorithm for vacant parking space
detections using the image processing capabilities of OpenCV. It removes the need for …
detections using the image processing capabilities of OpenCV. It removes the need for …