Efficient Rebar Count Scheme Based on Image Recognition in Mechanical Engineering

2013 ◽  
Vol 340 ◽  
pp. 805-808
Author(s):  
Yi Long Lei ◽  
Jiong Zhao Yang ◽  
Yu Huan Zhang
Keyword(s):  
Image Processing ◽  
Image Recognition ◽  
Enterprise Management ◽  
Labor Intensity ◽  
Root Number ◽  
Image Processing Algorithm ◽  
Counting System ◽  
Automatic Counting ◽  
Steel Bar ◽  
System Composition

Nowadays, along with the higher requirement of the customer and the standardization of enterprise management, the finished product of steel bar production must be standardization packaged by root number; management requirements of bar fixed bundle of sticks are more stringent. The artificial count is used into the most of the steel bar production recently. So there are many problems. Such as labor intensity, easy fatigue, less efficient, and error-prone. The image recognition technology for online automatic counting system for a given period of time. It also can improve the speed and make the product more accuracy. This paper mainly talks about the system composition and image processing algorithm.

Automatic Counting System for Nuclear Track Based on DSP and Mathematical Morphology Algorithm

2014 ◽  
Vol 610 ◽  
pp. 287-290
Author(s):  
Yi Pan ◽  
Liang Jun Liu
Keyword(s):  
Image Processing ◽  
Mathematical Morphology ◽  
Nuclear Technology ◽  
Counting System ◽  
Automatic Counting ◽  
Manual Counting ◽  
Important Position ◽  
Processing Techniques ◽  
Morphology Algorithm ◽  
Visual Error

Parameter measurement of the solid state nuclear track occupies an extremely important position in the field of nuclear technology while limitation of the traditional manual counting method is very large. In recent years, DSP and image processing techniques are increasingly applied in the field of nuclear technology. This paper describes an automatic counting system for nuclear track based on DSP image processing platform which uses DSP hardware platform and mathematical morphology algorithm. This system can effectively separate the track point from the background and remove noise, and also accurately count helping to reduce the visual error of manual counting.

scholarly journals Development of an image processing MATLAB algorithm for cell growth analysis

2019 ◽  
Author(s):  
Guilherme Antonio Dutra Morais ◽  
Eric Fujiwara ◽  
Marco César Prado Soares ◽  
Lucimara G. de la Torre
Keyword(s):  
Image Processing ◽  
User Interface ◽  
Cell Growth ◽  
Graphical User Interface ◽  
Growth Analysis ◽  
Image Processing Algorithm ◽  
Reliability Of Results ◽  
Automatic Counting ◽  
Microscope Images ◽  
Fluorescent Cells

An image processing algorithm was developed using a MATLAB Graphical User Interface (GUI), allowing the automatic counting and analysis of fluorescent cells in microscope images. This software improves the reliability of results obtained by low-experienced researchers and can be used as feedback for maintaining the correct environmental conditions for fermentation.

Automatic mantispid egg detection and counting using image nature

2020 ◽  
Vol 34 (22n24) ◽  
pp. 2040138
Author(s):  
Pei-Ying Yang ◽  
Chin-Dar Tseng ◽  
Tai-Lin Huang ◽  
Chao-Hong Liu ◽  
I-Hsing Tsai ◽  
...  
Keyword(s):  
Image Processing ◽  
Background Subtraction ◽  
Counting System ◽  
Insect Eggs ◽  
Background Estimation ◽  
Morphological Image Processing ◽  
Automatic Counting ◽  
Manual Counting ◽  
Detection And Counting ◽  
Morphological Image

Mantispids are small brown bugs about 1.5 cm in length. Mantispid eggs are produced in large quantities, with about 1000 eggs per spawning, and are tiny and densely packed. Traditionally, mantispid eggs are counted manually. However, counting such a large quantity of eggs is difficult. To provide accurate data for researchers, we detail methods to accurately detect and count the number of mantispid eggs using image processing. The following methods were used to count the mantispid eggs: background estimation, morphological image processing, background subtraction, stretching, image thresholding, gray-level transformation, labeling and counting. The results of automated counting were compared with the results of manual counting. The segmentation results were verified, and the accuracy of the mantispid egg counts was determined to be 100%. This provides a useful resource for mantispid egg counting. The automatic counting system cannot only count mantispid eggs, it can also be used to count other similar insect eggs.

Estimating OLED Display Device Lifetime from pixel and screen brightness and its application

2019 ◽  
Vol 2019 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Jérémie Gerhardt ◽  
Michael E. Miller ◽  
Hyunjin Yoo ◽  
Tara Akhavan
Keyword(s):  
Image Processing ◽  
Power Consumption ◽  
Model Parameters ◽  
Display Device ◽  
Image Processing Algorithm ◽  
Pixel Value ◽  
Device Lifetime ◽  
The Impact ◽  
Oled Display

In this paper we discuss a model to estimate the power consumption and lifetime (LT) of an OLED display based on its pixel value and the brightness setting of the screen (scbr). This model is used to illustrate the effect of OLED aging on display color characteristics. Model parameters are based on power consumption measurement of a given display for a number of pixel and scbr combinations. OLED LT is often given for the most stressful display operating situation, i.e. white image at maximum scbr, but having the ability to predict the LT for other configurations can be meaningful to estimate the impact and quality of new image processing algorithms. After explaining our model we present a use case to illustrate how we use it to evaluate the impact of an image processing algorithm for brightness adaptation.

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