• Title/Summary/Keyword: image analysis method

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Region Division for Large-scale Image Retrieval

  • Rao, Yunbo;Liu, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.5197-5218
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    • 2019
  • Large-scale retrieval algorithm is problem for visual analyses applications, along its research track. In this paper, we propose a high-efficiency region division-based image retrieve approaches, which fuse low-level local color histogram feature and texture feature. A novel image region division is proposed to roughly mimic the location distribution of image color and deal with the color histogram failing to describe spatial information. Furthermore, for optimizing our region division retrieval method, an image descriptor combining local color histogram and Gabor texture features with reduced feature dimensions are developed. Moreover, we propose an extended Canberra distance method for images similarity measure to increase the fault-tolerant ability of the whole large-scale image retrieval. Extensive experimental results on several benchmark image retrieval databases validate the superiority of the proposed approaches over many recently proposed color-histogram-based and texture-feature-based algorithms.

Analysis of Air Voids System Using Image Analysis Technique in Hardened Concrete (화상분석법을 통한 경화 콘크리트의 미세 공극 구조 분석)

  • Yun Kyong-Ku;Jeong Won-Kyong;Jun In-Koo;Lee Bong-Hak
    • Journal of the Korea Concrete Institute
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    • v.16 no.6 s.84
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    • pp.741-750
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    • 2004
  • Air voids in hardened concrete have an important influence on concrete durability such as freeze-thaw resistance, surface scaling resistance, and water permeability, and they have been characterized by spacing factor Linear traverse and point count methods in ASTM standard have been used in estimating an air void system in hardened concrete. However, these methods require lots of time and efforts, further they are not repeatable. Image analysis method could be utilized In estimating an air void systems in hardened concrete with a developments of microscope, digital camera and computer program. The purpose of this study was to develope image analysis method and provide a guideline by comparing the results from ASTM method and image analysis method. The concerns were at air void content and diameter distribution, air voids system as well as spacing factors. The experimental variables included air content by air entrained agent (0, 0.01, $0.03\%$) and depth of specimen (top, middle, bottom). The result showed that it was possible to calculate spacing factor using image analysis technique, as well as air content, air diameter distribution, and air structure. This study also contributed in developing an reasonable and repeatable image analysis method.

Comparison of Quantitative Analysis of Radioactive Corrosion Products Using an EPMA and X-ray Image Mapping

  • Jung, Yang Hong;Choo, Young Sun
    • Corrosion Science and Technology
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    • v.19 no.5
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    • pp.231-238
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    • 2020
  • Radioactive corrosion product specimens were analyzed using an electron probe microanalyzer (EPMA) and X-ray image mapping. It is difficult to analyze the composition of radioactive corrosion products using an EPMA due to the size and rough shape of the surfaces. It is particularly challenging to analyze the composition of radioactive corrosion products in the form of piled up, small grains. However, useful results can be derived by applying a semi-quantitative analysis method using an EPMA with X-ray images. A standard-less, semi-quantitative method for wavelength dispersive spectrometry. EPMA analysis was developed with the objective of simplifying the analytical procedure required. In this study, we verified the reasonable theory of semi-quantitative analysis and observed the semi-quantitative results using a sample with a good surface condition. Based on the validated results, we analyzed highly rough-surface radioactive corrosion products and assessed their composition. Finally, the usefulness of the semi-quantitative analysis was reviewed by verifying the results of the analysis of radioactive corrosion products collected from spent nuclear fuel rods.

A Study on the Traffic Flow Analysis Method by Image Processing (화상처리에 의한 교통류 해석방법에 관한 연구)

  • 이종달;이령욱
    • Journal of Korean Society of Transportation
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    • v.12 no.1
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    • pp.97-116
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    • 1994
  • Today advanced traffic management systems are required because of a high increase in traffic demand. Accordingly, the objective of this study is to take advantage of image processing systems and present image processing methods available for collection of the data on traffic characteristics, and then to investigate the possibility of traffic flow analysis by means of comparison and analysis of measured traffic flow. Data were collected at two places of Daegu city and Kyongbu expressway by using VTR. Rear view (down stream) and frontal view (up stream) methods were employed to compare and analyze traffic characteristics including traffic volume, speed, time-headway, time-occupancy, and vehicle-length, by analysis of measured traffic flow and image processing respectively. Judging from the results obtained by this study, image processing techniques are sufficient for the analysis of traffic volume, but a frame grabber equipped with high speed processor is necessary as well, with low level system judged to be sufficient for traffic volume analysis.

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Underwater Image Preprocessing and Compression for Efficient Underwater Searches and Ultrasonic Communications

  • Kim, Dong-Hoon;Song, Jun-Yeob
    • International Journal of Precision Engineering and Manufacturing
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    • v.8 no.1
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    • pp.38-45
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    • 2007
  • We propose a preprocessing method for removing floating particles from underwater images based on an analysis of the image features. We compared baseline JPEG and wavelet codec methods to determine the method best suited for underwater images. The proposed preprocessing method enhanced the compression ratio and resolution, and provided an efficient means of compressing the images. The wavelet codec method yielded better compression ratios and image resolutions. The results suggest that the wavelet codec method linked with the proposed preprocess method provides an efficient codec processor and transmission system for underwater images that are used for searches and transmitted via ultrasonic communications.

A Study on the Lubricating Air-layer Detection Techniques with Digital Image Analysis in Flat Plate Air Lubrication Test (공기윤활평판실험에서 디지털 영상분석을 통한 윤활공기막 검출기법)

  • Park, SeongHyeon;Lee, Inwon
    • Journal of the Korean Society of Visualization
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    • v.14 no.1
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    • pp.27-32
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    • 2016
  • The reduction of $CO_2$ emissions has been a key target in the Marine Industry since the IMO's Marine Environment Protection Committee published its findings in 2009. The representative emission index is termed as the EEDI (Energy Efficiency Design Index) for the new ships. Among various flow control techniques ever proposed, the air lubrication method is the one of most promising one in terms of practical applicability. The present study examines the basic characteristics of the flat plate test with intention of applying the air lubrication technology to the reduction of the resistance of a ship. Image analysis technique is proposed as a tool to quantify the effectiveness of the air lubrication method.

Object Recognition Using the Edge Orientation Histogram and Improved Multi-Layer Neural Network

  • Kang, Myung-A
    • International Journal of Advanced Culture Technology
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    • v.6 no.3
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    • pp.142-150
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    • 2018
  • This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the edge orientation histogram and principle component analysis. By using the detected object region as a recognition input image, in this paper the object recognition method combined with principle component analysis and the multi-layer network which is one of the intelligent classification was suggested and its performance was evaluated. As a pre-processing algorithm of input object image, this method computes the eigenspace through principle component analysis and expresses the training images with it as a fundamental vector. Each image takes the set of weights for the fundamental vector as a feature vector and it reduces the dimension of image at the same time, and then the object recognition is performed by inputting the multi-layer neural network.

DIGITAL IMAGE HANDLING BY FINITE ELEMENT RETINA FOR PLANT GROWTH MONITORING

  • Murase, Haruhiko;Nishiura, Yoshifumi
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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    • pp.765-772
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    • 1996
  • Objectives of this study were to develop an application method of a numerical retina using the finite element model and to investigate the performance of image features extraction in comparison to the textural analysis. Using a plant community of radish sprouts, excellent resolution of the finite element retina was revealed. The sensitivity analysis of the finite element retina from engineering point of view was discussed. The importance of sensitivity analysis of the finite element retina was pointed out in terms of extraction of effective image features of plant community . Technical details of maximizing the sensitivity of the finite element retina to populated plant canopy were also discussed.

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A Study on the Analysis of Mucociliary Beat Frequency Using Image Processing (영상 처리 방법을 이용한 후각 상피 세포의 섬모 운동 특성 분석에 관한 연구)

  • Yi, W.J.;Park, K.S.;Min, Y.G.;Sung, M.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.05
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    • pp.111-114
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    • 1996
  • Mucociliary transport is one of the essential defensive functions of the airway mucosa. In this paper, the objective and quantitative method of measuring CBF(Ciliary Beat Frequency) was developed based on the image processing method. Microscopic ciliary images are acquired through image processing board inside PC, and data necessary for the FFT(Fast Fourier Transform) analysis are extracted. By means of FFT analysis, maximum peak frequencies are found in each divided block of a whole acquired image. Finally using these frequencies, we compose a frequency map showing the spatial distribution of CBF's.

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Efficient Generation of Image Identifiers for Image Database (정지영상 데이터베이스의 효율적 인식자 생성)

  • Park, Je-Ho
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.3
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    • pp.89-94
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    • 2011
  • The image identification methodology associates an image with a unique identifiable representation. Whenever the methodology regenerates an identifier for the same image, moreover, the newly created identifier needs to be consistent in terms of representation value. In this paper, we discuss a methodology for image identifier generation utilizing luminance correlation. We furthermore propose a method for performance enhancement of the image identifier generation. We also demonstrate the experimental evaluations for uniqueness and similarity analysis and performance improvement that have shown favorable results.