A novel method for detection of preferred retinal locus (PRL) through simple retinal image processing using MATLAB

2013 ◽  
Author(s):  
V. Kalikivayi ◽  
Sudip Pal ◽  
A. R. Ganesan
Keyword(s):  
Image Processing ◽  
Retinal Image ◽  
Retinal Locus ◽  
Novel Method

scholarly journals Design and Implementation of a Student Archive Retrieval Method Based on Image Processing

2020 ◽  
Vol 34 (4) ◽  
pp. 487-494
Author(s):  
Lei An ◽  
Aihua Li
Keyword(s):  
Image Processing ◽  
Information Management ◽  
Image Feature ◽  
Similarity Measurement ◽  
Function Learning ◽  
Retrieval Method ◽  
Design And Implementation ◽  
Network Modules ◽  
Novel Method ◽  
Effectiveness And Efficiency

Compared with traditional manual archive organization and review, the student archive management system can manage massive student archives in a refined, regular, and scientific manner. The effectiveness and efficiency of the retrieval method directly bears on the utilization effect of student archives. Based on image processing, this paper puts forward a novel method for student archive retrieval, which greatly improves the classification, recognition, and information management of images in student archives during the retrieval. Firstly, a framework of student archive retrieval was introduced based on image processing. Next, a deep convolutional neural network (DCNN) was constructed for hash learning, and the functions of the three network modules were detailed, including image feature extraction, hash function learning, and similarity measurement. Finally, several indices were selected to evaluate the retrieval effect of student archives. The proposed method was proved effective and feasible through contrastive experiments. The research results provide a theoretical reference for the application of our method in other fields of image retrieval.

Measurement of Vehicle Tire Footprint Pattern and Pressure Distribution Using Piezoresistive Force Sensor Mat and Image Analysis

2010 ◽  
Vol 437 ◽  
pp. 467-471 ◽  
Author(s):  
Rong Sheng Lu ◽  
Ning Liu ◽  
Xiao Huai Chen
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Pressure Distribution ◽  
Digital Image Processing ◽  
Force Sensor ◽  
High Accuracy ◽  
Envelope Curve ◽  
Calculation Algorithm ◽  
Measurement Principle ◽  
Novel Method

In this paper, a novel method to measure the footprint pattern of a vehicle tire and its pressure distribution will be put forward. The measurement principle will be presented. The automatic digital image processing methods of the footprint pattern and pressure distribution images, which are used to characterize the footprint pattern, are described. Especially, a novel envelope curve calculation algorithm for finding a pattern boundary is introduced. The experimental results have shown that the methods mentioned in the paper are of robustness and high accuracy.

Human Behavior Recognition Based on Motion Decomposition

2014 ◽  
Vol 945-949 ◽  
pp. 1780-1783
Author(s):  
Shao Ping Zhu ◽  
Yu Hua Chen
Keyword(s):  
Image Processing ◽  
Human Behavior ◽  
Video Sequence ◽  
Image Sequences ◽  
Research Field ◽  
Interest Points ◽  
Behavior Recognition ◽  
Novel Method ◽  
Active Research ◽  
Human Behavior Recognition

Human behavior recognition is an active research field in computer vision and image processing. A novel method is proposed for human behavior recognition in video image sequences. First of all, a video sequence is represented by extracting space-time interest points. Then Human behavior is represented by activities through Motion Decomposition. The activity comprises labeled bags that are composed of unlabeled instances comprising to action. Final labeled activities are used to train a strong classifier which is used to predict the labels of unseen behavior bags. Experimental results show the effectiveness of the proposed method in comparison with other related works in the literature and can also tolerate noise and interference conditions.

Research on Fire Detection in Coal Mine Based on GA-Improved Wavelet Neural Networks

2012 ◽  
Vol 490-495 ◽  
pp. 1636-1639
Author(s):  
Hong Zhao
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Coal Mine ◽  
Fire Detection ◽  
Mine Safety ◽  
Wavelet Neural Networks ◽  
Mine Fire ◽  
Coal Mine Safety ◽  
Safety Production ◽  
Novel Method

In coal mine the forecast on fire is mainly based on the smoke, gas and temperature parameters to recognize, and sometimes it has leak check and wrong check, therefore a novel method for mine fire based on image processing is presented. First the data are obtained by infrared CCD, then the blaze characters are extracted and they are entered into the GA-improved wavelet neural networks model after being quantization, finally the fire can be detected. The experiment results show that this method can recognize fire signals and it reduced leak forecast, and also it is more reliable and has stronger antigambling ability. It will inevitably play an important role in coal mine safety production..

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