Research on Intelligent Cane-End Cutting Based on Image Processing for Sugarcane

2011 ◽  
Vol 320 ◽  
pp. 631-635
Author(s):  
De Qiang He ◽  
Qi Yang Liu ◽  
Liang Xin Li ◽  
Jian Miao
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Control Unit ◽  
The Body ◽  
Automatic Identification ◽  
Identification System ◽  
Processing Unit ◽  
Cutting Mechanism ◽  
Dynamic Acquisition ◽  
And Control

An automatic identification method for the cane-end of sugarcane based on digital image processing is given considering the characteristic of the cane-end of sugarcane. An image processing method with Visual C++ is used in the dynamic acquisition and jitter procedure, and identifying the cane-end automatically. The identification system of the cane-end of sugarcane consists of the image acquisition unit, the image processing unit, the identification and control unit. After the digital image of a cane-end is collected, the identification system locates the edge between the cane-end and the body of the sugarcane immediately and automatically via image processing and identification, providing the location information of the cane-end for the following mechanical cane-end cutting method. This system can massively improve the productivity of the cane-end cutting mechanism in a sugarcane harvester.

scholarly journals Transmission Path Tracking of Maritime COVID-19 Pandemic via Ship Sailing Pattern Mining

2021 ◽  
Vol 13 (3) ◽  
pp. 1089
Author(s):  
Hailin Zheng ◽  
Qinyou Hu ◽  
Chun Yang ◽  
Jinhai Chen ◽  
Qiang Mei
Keyword(s):  
Clustering Algorithm ◽  
Pattern Mining ◽  
Transportation Networks ◽  
Automatic Identification ◽  
Identification System ◽  
Classification Models ◽  
Transmission Path ◽  
The Hierarchical Structure ◽  
Hierarchical Clustering Algorithm ◽  
And Control

Since the spread of the coronavirus disease 2019 (COVID-19) pandemic, the transportation of cargo by ship has been seriously impacted. In order to prevent and control maritime COVID-19 transmission, it is of great significance to track and predict ship sailing behavior. As the nodes of cargo ship transportation networks, ports of call can reflect the sailing behavior of the cargo ship. Accurate hierarchical division of ports of call can help to clarify the navigation law of ships with different ship types and scales. For typical cargo ships, ships with deadweight over 10,000 tonnages account for 95.77% of total deadweight, and 592,244 berthing ships’ records were mined from automatic identification system (AIS) from January to October 2020. Considering ship type and ship scale, port hierarchy classification models are constructed to divide these ports into three kinds of specialized ports, including bulk, container, and tanker ports. For all types of specialized ports (considering ship scale), port call probability for corresponding ship type is higher than other ships, positively correlated with the ship deadweight if port scale is bigger than ship scale, and negatively correlated with the ship deadweight if port scale is smaller than ship scale. Moreover, port call probability for its corresponding ship type is positively correlated with ship deadweight, while port call probability for other ship types is negatively correlated with ship deadweight. Results indicate that a specialized port hierarchical clustering algorithm can divide the hierarchical structure of typical cargo ship calling ports, and is an effective method to track the maritime transmission path of the COVID-19 pandemic.

scholarly journals Verification of the image processing system in real conditions

2021 ◽  
Vol 3 (1) ◽  
pp. 33-37
Author(s):  
Piotr Wołejsza ◽  
Jolanta Koszelew ◽  
Krzysztof Matuk ◽  
Oskar Świda
Keyword(s):  
Image Processing ◽  
Autonomous Navigation ◽  
Processing System ◽  
Automatic Identification ◽  
Identification System ◽  
Sources Of Information ◽  
Research Project ◽  
Image Processing System ◽  
Automatic Identification System ◽  
Autonomous Vessel

Autonomous Vessel with an Air Look, is a research project that aims to develop autonomous navigation of ships. The system uses three independent sources of information i.e. radar, AIS ? Automatic Identification System and cameras, which can be located on a drone or ship?s superstructure. The article presents the results of testing of an image processing system in real conditions on m/f Wolin.

scholarly journals An efficient algorithm for determining positions of astronomical objects in the Deep Sky Object pictures

2015 ◽  
Vol 63 (3) ◽  
pp. 679-684
Author(s):  
R. Suszynski ◽  
K. Wawryn ◽  
M. Dziebowski
Keyword(s):  
Image Processing ◽  
Atmospheric Turbulence ◽  
Digital Image Processing ◽  
Digital Image ◽  
Efficient Algorithm ◽  
Automatic Identification ◽  
Matlab Program

Abstract The article presents an algorithm for digital image processing of astronomical objects in order to effectively determine the position of these objects. The proposed method has been optimized due to its effectiveness of removing noise and distortion caused by atmospheric turbulence and imperfections in long exposure photography of astronomical objects. This solution is ready for implementation in a system for automatic identification of stars in the recorded images. Such a system is designed for GoTo circuits at telescope’s drives, which can automatically point a telescope to astronomical objects. The method was verified by simulation in MATLAB program on real images of astronomical objects.

Digital Image Processing of Palm Oil Fruits

2006 ◽  
Vol 2 (2) ◽  
Author(s):  
Thomas S.Y. Choong ◽  
Saad Abbas ◽  
Abdul Rashid Shariff ◽  
Rohaya Halim ◽  
Mohd Halim S. Ismail ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Palm Oil ◽  
Digital Image ◽  
Oil Palm ◽  
Oil Content ◽  
Direct Relationship ◽  
Red Color ◽  
Palm Oil Mill ◽  
And Control

The oil content of the flesh of mesocarp has direct relationship with color bands red, green and blue. By running intensive experiments, it was found that oil content correlated with the red color band, with a regression value of 0.86. The finding of this study may be useful for determining the ripeness of oil palm for harvesting and for the use in the operation and control of continuous steriliser in palm oil mill.

scholarly journals PERANCANGAN SISTEM PENENTUAN TINGKAT KESEGARAN IKAN CAKALANG MENGGUNAKAN METODE CURVE FITTING BERBASIS CITRA DIGITAL MATA IKAN

2017 ◽  
Vol 17 (2) ◽  
pp. 161
Author(s):  
Altien J. Rindengan ◽  
Mans Mananohas
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Curve Fitting ◽  
Room Temperature ◽  
Polynomial Regression ◽  
The Body ◽  
Application System ◽  
Fitting Method ◽  
Fish Samples ◽  
Curve Fitting Method

PERANCANGAN SISTEM PENENTUAN TINGKAT KESEGARAN IKAN CAKALANG MENGGUNAKAN METODE CURVE FITTING BERBASIS CITRA DIGITAL MATA IKAN AbstrakPada ikan terdapat banyak mengandung nutrisi yang sangat bermanfaat bagi tubuh, namun seringkali ikan diperdagangkan dalam keadaan sudah mati. Untuk mengamati kesegaran ikan cakalang dilakukan dengan pengenalan perubahan warna yang tampak pada citra digital menggunakan metode curve fitting. Tujuan dari penelitian ini adalah membangun sistem aplikasi pengelolahan citra untuk mendeteksi tingkat kesegaran ikan cakalang dilihat dari lamanya ikan tersebut berada di suhu ruang. Data yang gunakan adalah 10 sampel citra ikan cakalang yang diambil gambarnya setiap 1 jam selama 10 jam dan diperoleh 100 data gambar kemudian diolah dan dilakukan analisis dengan metode curve fitting. Proses pertama diawali dengan pengolahan citra dengan melakukan pemotongan (cropping) pada bagian tepi mata citra original kemudian dilanjutkan dengan penyamaan ukuran (resize) menjadi 1000 x 1000 pixel dan pergantian format citra menjadi *.png. Setelah gambar sudah diolah,  kemudian dilakukan perhitungan nilai rata-rata RGB menggunakan sistem aplikasi.  Selanjutnya, dilakukan perhitungan dengan metode curve fitting sehingga diperoleh persamaan regresi polinomial sebagai dasar pada sistem aplikasi.. Proses terakhir, dilakukan pencocokan citra uji dengan citra yang disimpan sebagai data training dan diperoleh kesimpulan apakah citra ikan cakalang tersebut telah berada selama berapa jam di suhu ruang pada selang 1 – 10 jam. Penelitian ini menunjukan dari 100 sampel ikan, 83 citra sesuai dan 17 tidak sesuai dengan  akurasi sistem sebesar    83 %.Kata kunci  : Mata Ikan Cakalang, Pengolahan Citra Digital, Metode Curve fitting. SYSTEM DESIGN OF FRESHNESS LEVEL DETERMINATION OF SKIPPER FISH USING CURVE FITTING METHOD BASED ON DIGITAL IMAGE OF FISH EYE AbstractIn fish there are many contain nutrients that are very beneficial to the body, but often fish are traded in a state of death. To observe the freshness of skipjack is done with the introduction of color changes that appear on digital image using curve fitting method. The purpose of this research is to build an image management application system to detect the freshness level of skipjack fish seen from the duration of the fish is at room temperature. The data used are 10 samples of skipjack image taken every 1 hour for 10 hours and obtained 100 image data then processed and analyzed by curve fitting method. The first process begins with image processing by cutting (cropping) at the edge of the eye of the original image and then followed by resizing to 1000 x 1000 pixels and change the image format to * .png. After the image has been processed, then calculated the average value of RGB using the application system. Furthermore, the calculation is done by curve fitting method to obtain the polynomial regression equation as the basis of the application system. The last process, the matching of the test image with the image stored as training data and obtained the conclusion whether the cakalang image has been in for how many hours at room temperature at intervals of 1 - 10 hours. This study showed that from 100 fish samples, 83 corresponding images and 17 did not correspond to the system accuracy of 83%.Keywords: Skipjack Fish, Digital Image Processing, Curve Fitting Method

Design of a DSP System Based on FPGA

2011 ◽  
Vol 317-319 ◽  
pp. 1559-1562 ◽  
Author(s):  
Ju Fang Hu ◽  
Chun Ru Xiong ◽  
Hao Hu ◽  
Run Yang Zhong
Keyword(s):  
Processing System ◽  
Control Unit ◽  
Digital Signal ◽  
Processing Unit ◽  
Signal Processing System ◽  
Innovative Methodology ◽  
Dsp System ◽  
Field Programmable ◽  
Main Components ◽  
And Control

This paper proposes an innovative methodology to design a DSP (Digital Signal Processing) system using FPGA (Field-programmable Gate Array). There are several main components in this system, including A/D sampling unit, FFT processing unit and control unit. A/D sampling and FFT processing units utilize the Nios processor in FPGA as controller. Control unit uses EP1C20 FPGA chip from ALTERA as FFT processing unit so as to manage the FIFO operations. This unit can handle 128 FFT operations. This system design approach is tested on Matlab. The results indicate that the calculation speed is much faster than common DSP manner.

Study of Stored Product Insects Identification Based on near Infrared Spectroscopy (NIRS)

2014 ◽  
Vol 513-517 ◽  
pp. 2706-2709
Author(s):  
Wen Cang Zhao ◽  
Xiao Yu Chi ◽  
Cheng Zhang
Keyword(s):  
Image Processing ◽  
Infrared Spectroscopy ◽  
Digital Image Processing ◽  
Near Infrared Spectroscopy ◽  
Basic Principle ◽  
Digital Image ◽  
Near Infrared ◽  
Infrared Light ◽  
Automatic Identification ◽  
Stored Product Insects

The harm of stored product pests are very serious, which caused huge losses to the national economy. It is important to strengthen the research on the insects, for the protection of reservoir storage and quarantine. In the recognition of stored product insects, Some insects have anabiosis, once it is missed, if the external environment is favorable, it will flourish and spread, there will be great harm to the storage of food. This paper briefly introduces the basic principle of the near infrared spectroscopy technology combined with the basic principle of digital image processing and recognition technology. The basic principle of automatic identification technology of dead and live insects, it is based on the difference of absorption and reflection of near-infrared light for the identification of insect pests. This paper presents a new idea of research on near infrared spectroscopy technology and digital image processing technology for automatic identification of direction in the dead and live insects.

Research of the Image-Based Automatic Identification of the High-Strength Al-Alloy Grain Size

2012 ◽  
Vol 531 ◽  
pp. 547-553 ◽  
Author(s):  
Li Xin Zhang ◽  
Shuai Ling Wei ◽  
Zheng Guang Xu ◽  
Xue Chong Ren ◽  
Li Li Lin ◽  
...  
Keyword(s):  
Image Processing ◽  
Grain Size ◽  
Quantitative Analysis ◽  
Digital Image Processing ◽  
Digital Image ◽  
High Strength ◽  
Automatic Identification ◽  
Al Alloy ◽  
Fundamental Parameter ◽  
Low Efficiency

In the quantitative analysis of metallographic organization, the grain size is a fundamental parameter. The traditional methods of getting the grain size depend on artificiality. These means have strong subjectivity and low efficiency. In this paper, a new digital image processing technology method is proposed for the measurement of the grain size. The experiment with the 7050 Al-alloy samples show that the proposed algorithm has performed well compared with the artificial methods.

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