• Title, Summary, Keyword: image processing

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Design and Implementation of Big Data Platform for Image Processing in Agriculture (농업 이미지 처리를 위한 빅테이터 플랫폼 설계 및 구현)

  • Nguyen, Van-Quyet;Nguyen, Sinh Ngoc;Vu, Duc Tiep;Kim, Kyungbaek
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.50-53
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    • 2016
  • Image processing techniques play an increasingly important role in many aspects of our daily life. For example, it has been shown to improve agricultural productivity in a number of ways such as plant pest detecting or fruit grading. However, massive quantities of images generated in real-time through multi-devices such as remote sensors during monitoring plant growth lead to the challenges of big data. Meanwhile, most current image processing systems are designed for small-scale and local computation, and they do not scale well to handle big data problems with their large requirements for computational resources and storage. In this paper, we have proposed an IPABigData (Image Processing Algorithm BigData) platform which provides algorithms to support large-scale image processing in agriculture based on Hadoop framework. Hadoop provides a parallel computation model MapReduce and Hadoop distributed file system (HDFS) module. It can also handle parallel pipelines, which are frequently used in image processing. In our experiment, we show that our platform outperforms traditional system in a scenario of image segmentation.

Image Processing-based Validation of Unrecognizable Numbers in Severely Distorted License Plate Images

  • Jang, Sangsik;Yoon, Inhye;Kim, Dongmin;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • v.1 no.1
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    • pp.17-26
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    • 2012
  • This paper presents an image processing-based validation method for unrecognizable numbers in severely distorted license plate images which have been degraded by various factors including low-resolution, low light-level, geometric distortion, and periodic noise. Existing vehicle license plate recognition (LPR) methods assume that most of the image degradation factors have been removed before performing the recognition of printed numbers and letters. If this is not the case, conventional LPR becomes impossible. The proposed method adopts a novel approach where a set of reference number images are intentionally degraded using the same factors estimated from the input image. After a series of image processing steps, including geometric transformation, super-resolution, and filtering, a comparison using cross-correlation between the intentionally degraded reference and the input images can provide a successful identification of the visually unrecognizable numbers. The proposed method makes it possible to validate numbers in a license plate image taken under low light-level conditions. In the experiment, using an extended set of test images that are unrecognizable to human vision, the proposed method provides a successful recognition rate of over 95%, whereas most existing LPR methods fail due to the severe distortion.

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Uncertainty Analysis of Suspended Load Concentration Using Bayesian and Image Processing (Bayesian과 Image Processing을 이용한 부유사 농도의 불확실성 분석)

  • Jeong, Seok il;Kwon, Hyun-Han;Lee, Seung Oh
    • Proceedings of the Korea Water Resources Association Conference
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    • pp.493-493
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    • 2017
  • 부유사 수리실험에서 부유사의 농도를 측정하는 것은 불확실성이 매우 크다. Einstein(1950)은 유사의 pickup function 결정에서 이러한 불확실성 때문에 유사입자의 거동을 발생시키는 양력의 확률을 적용하기도 하였다. 일반적으로 부유사의 측정은 부유사 채집기를 통해 수행하지만, 시간적으로 비효율 적이며, 채집 시 채집기의 부피로 인한 난류 발생으로 채집 후 흐름 변화가 발생할 수 있다. 수리실험의 규모라면 이 문제는 더욱 부각될 수 있다. 연속적인 부유사의 농도 측정을 위해 이러한 점은 개선되어야 하는 문제이다. 본 연구에서는 유사 실험의 이러한 단점을 극복하고자 image processing 기법을 적용하였다. Image processing은 부유사의 농도가 증가할수록 탁도가 증가하는 특성을 이용하여, 부유사 농도를 추정하는 방법이다. 이 과정에서 RGB(Red-Green-Blue)로 색을 표시하는 방식에서 image를 변환하여 gray scale로 전환해야 하며, 파(wave)의 전파에 의한 image 결과의 변형은 없다고 가정하였다. Gray scale과 탁도와의 관계를 도출하기 위해 하상에 유사를 포설하고, 단파(surge)를 발생 시켰다. 실험은 길이 12.0m, 폭 0.8m, 높이 0.75m의 개수로에서 수행하였으며, 수로 상류에 sluice형 gate를 급격하게 개방하는 것으로 단파를 재현하였다. 탁도 측정을 위해 유사 채집기를 이용하였으며, 상기에서 제시한 흐름 교란문제로, 1지점에서 1개의 시간동안만 채집을 수행하였으며, image의 촬영을 병행하였다. 또한 data의 정확도를 높이기 위해 3번의 반복실험을 수행하였다. 실험결과 gray scale과 탁도와는 일정한 관계가 나타났으며, 이를 토대로 gray scale-SSC(suspended sediment concentration)와의 관계를 도출하였다. Bayesian 분석을 이용하여 image processing의 보정(확률적 보정)을 추가적으로 수행하였다. 최종적으로 실측한 값과 image processing을 통한 값을 1:1 curve를 통해 비교하였으며, 약 9%의 평균 오차가 발생하여, image processing과 bayesian 적용을 통한 부유사 농도 측정은 신뢰할 만한 결과를 도출하는 것으로 판단된다.

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IR Image Processing IP Design, Implementation and Verification For SoC Design

  • Yoon, Hee-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.1
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    • pp.33-39
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    • 2018
  • In this paper, We studied the possibility of SoC(System On Chip) design using infrared image processing IP(Intellectual Property). And, we studied NUC(Non Uniformity Correction), BPR(Bad Pixel Recovery), and CEM(Contrast Enhancement) processing, the infrared image processing algorithm implemented by IP. We showed the logic and timing diagram implemented through the hardware block designed based on each algorithm. Each algorithm was coded as RTL(Register Transfer Level) using Verilog HDL(Hardware Description Language), ALTERA QUARTUS synthesis, and programed in FPGA(Field Programmable Gated Array). In addition, we have verified that the image data is processed at each algorithm without any problems by integrating the infrared image processing algorithm. Particularly, using the directly manufactured electronic board, Processor, SRAM, and FLASH are interconnected and tested and the verification result is presented so that the SoC type can be realized later. The infrared image processing IP proposed and verified in this study is expected to be of high value in the future SoC semiconductor fabrication. In addition, we have laid the basis for future application in the camera SoC industry.

GeoNet: Web-based Renotely Sensed Image Processing System (GeoNet: 웹 기반 위성영상 처리)

  • Ahn, Chung-Hyun;Kim, Kyung-Ok
    • Journal of Korean Society for Geospatial Information System
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    • v.8 no.2
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    • pp.109-116
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    • 2000
  • GeoNet is java-based remotely sensed image processing system. It is based on java Ibject-oriented paradigm and features cross-platform, web-based execution and extensibility to client/server remotely sensed image processing model. Remotely sensed image processing softwares made by java programming language can suggest alternatives to meet readily demand on remotely sensed image processing in proportion to increasement of remotely sensed data.

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Development of an Image Processing Hardware for Detecting Defects on the surface of the High Speed Moving Plate

  • Sejeong Jang;Kwangsuck Boo;Jeonghoon Song;Lee, Seungyoung
    • 제어로봇시스템학회:학술대회논문집
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    • pp.96.6-96
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    • 2002
  • In this study an image processing system is designed and developed, which can detect and assort some defects on the surface of an object moving with high speed. For real time surface detection of high speed moving object, the fast processing should be managed and the image information including some surface features should be captured. It is difficult to acquire the noise free image due to various light sources and high speed moving materials under the environment of the general industrial site. In general, because pre-processing methods are employed for getting a noise free feature, the image processing speed has some limitation and the expensive image processing devices are required. This...

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The CAI systems for the image processing theory and practice (영상처리 이론 및 실습교육을 위한 통합교육시스템에 관한 연구)

  • 손병락;채옥삼
    • Proceedings of the IEEK Conference
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    • pp.741-744
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    • 1998
  • In the area of the multimedia computer, the demand for the image processing engineer is large. However, there are not many engineers capable of developing practical systems. To teach practical image processing techniques, we need an intergrated education systems which can efficiently present the image processing theory and, at the same time, provide interactive experiments for the theory presented. In this paper, we propose an integrated education systems for the image processing. It consists of the theory presentation systems and the experiment systems. The theory presentation systems uspports multimedia display functions and HTML. It is tightly integrated with the experiment systems which developed based on the integrated image processing algorithm development system called Hello-vision.

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Cyber Natural History Museum Contents for Mobile Phones (모바일 폰 기반의 사이버 자연사 박물관)

  • Hong, Sung-Soo;Khan, Irfan
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.1422-1425
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    • 2011
  • These days' mobile phones and their improved multimedia limits making it powerful enough to handle complicated tasks. Image processing related support for mobile devices is extremely comprehensive in mobile cyber museum. A key technical challenge is how to achieve the best-perceived image quality and transmitting data between client and server with given the limited screen size and display bit-depth of the mobile devices. This paper targets image processing features such as capturing rendering zooming, panning and image rotation for 360o view and customized algorithm related image processing with variety of search method i.e. alphabetical, visual search.

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Replaceable battery electric car's battery location coordinates image processing techniques for obtaining verification (배터리 교체형 전기자동차의 배터리 위치좌표 획득을 위한 영상처리기술 검증)

  • Kim, Eung-Pil;Jung, Won-Jae;Kim, Jeoung-Youn;Park, Jun-Seok;Kim, Tae-Hee
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.11 no.2
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    • pp.52-57
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    • 2012
  • In this paper describe configuration about QCM system for image processing device. It presents that QCM's image processing board video from the camera recognized by the PLC's battery removable exact location coordinates to the robot image processing technology to deliver. In addition, QCM video image processing technology for improved data reliability is described. In this paper define the landmarks of battery for obtaining the location coordinates and verify battery the location coordinates acquisition process from field tests of the QCM/QTPE-BUS Battery Exchange System.

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Spectral Reflectance Estimation of RGB Color Signal (RGB 색신호의 분광반사율 추정)

  • Beak, Jin-Wook;Choi, Hwan-Eon;Ahn, Suk-Chul
    • Journal of the Korean Printing Society
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    • v.22 no.1
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    • pp.9-18
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    • 2004
  • Recently as color image processing to be become independent have been desired at the light source in an image processing and it have been enlarged. An image processing of the light source which is become independent means an image processing which uses a spectral reflectance information. We improved it in the spectral reflectance estimation method which uses existing 3-band image in this research that the improvement of an identity color population generation method which uses the hue angle and the processing speed improvement and introduces a labelling method. The precision of a spectral reflectance estimation appeared to the ${\Delta}E^*_{ab}$ of an average 2.7 comparing with the measurement price. The practical use possibility came to be fast and appeared a processing speed compared with existing method.

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