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Image Dehazing using Transmission Map Based on Hidden Markov Random Field Model (은닉 마코프 랜덤 모델 기반의 전달 맵을 이용한 안개 제거)

  • Lee, Min-Hyuk;Kwon, Oh-Seol
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.1
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    • pp.145-151
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    • 2014
  • This paper proposes an image haze removal algorithm for a single image. The conventional Dark Channel Prior(DCP) algorithm estimates a transmission map using the dark information in an image, and the haze regions are then detected using a matting algorithm. However, since the DCP algorithm uses block-based processing, block artifacts are invariably formed in the transmission map. To solve this problem, the proposed algorithm generates a modified transmission map using a Hidden Markov Random Field(HMRF) and Expectation-Maximization(EM) algorithm. Experimental results confirm that the proposed algorithm is superior to conventional algorithms in image haze removal.

The Etrance Authentication Systems Using Real-Time Object Extraction and the RFID Tag (얼굴 인식과 RFID를 이용한 실시간 객체 추적 및 인증 시스템)

  • Jung, Young Hoon;Lee, Chang Soo;Lee, Kwang Hyung;Jun, Moon Seog
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.4 no.4
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    • pp.51-62
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    • 2008
  • In this paper, the proposal system can achieve the more safety of RFID System with the 2-step authentication procedures for the enhancement about the security of general RFID systems. After authentication RFID Tag, additionally, the proposal system extract the characteristic information in the user image for acquisition of the additional authentication information of the user with the camera. In this paper, the system which was proposed more enforce the security of the automatic entrance and exit authentication system with the cognitive characters of RFID Tag and the extracted characteristic information of the user image through the camera. The RFID system which use the active tag and reader with 2.4GHz bandwidth can recognize the tag of RFID in the various output manner. Additionally, when the RFID system have errors, the characteristic information of the user image is designed to replace the RFID system as it compare with the similarity of the color, outline and input image information which was recorded to the database previously. In the result of experiment, the system can acquire more exact results as compared with the single authentication system when it using RFID Tag and the information of color characteristics.

An Interactive Perspective Scene Completion Framework Guided by Complanate Mesh

  • Hao, Chuanyan;Jin, Zilong;Yang, Zhixin;Chen, Yadang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.1
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    • pp.183-200
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    • 2020
  • This paper presents an efficient interactive framework for perspective scene completion and editing tasks, which are available largely in the real world but rarely studied in the field of image completion. Considering that it is quite hard to extract perspective information from a single image, this work starts from a friendly and portable interactive platform to obtain the basic perspective data. Then, in order to make this interface less sensitive, easier and more flexible, a perspective-rectification based correction mechanism is proposed to iteratively update the locations of the initial points selected by users. At last, a complanate mesh is generated by the geometry calculations from these corrected initial positions. This mesh must approximate the perspective direction and the structure topology as much as possible so that the filling process can be conducted under the constraint of the perspective effects of the original image. Our experiments show the results with good qualities and performances, and also demonstrate the validity of our approaches by various perspective scenes and images.

A study on the Vision Inspection System for Injection Molding Products (사출제품의 영상검사 시스템 개발에 관한 연구)

  • Shin, Jae-Heung;Kim, Hong-Ryul;Lee, Sang-Cheol;Moon, Sung-Chang
    • Proceedings of the KIEE Conference
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    • 2007.11c
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    • pp.112-116
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    • 2007
  • If any of the set parameters such as the environment temperature, mold temperature are not maintained at a consistent level, the fail rate of injection molding products is increased. The price of the injection molding machine is very high, so in order to maximize the utilization of the machine that is required the production of a number of different products with minimum fail rate using a single machine. To prevent the defect products by an inspection process with perfect quality is very important to minimizing production of defect products in the molding process. Vision inspection systems are widely utilized in various manufacturing industries for quality assurance purposes. The vision inspection system consists of CCD camera and lighting system to capture the image of the subject of inspection, an image comparison algorithm using to determine the pass/fail of the products, and mechanical devices for the operation of the whole system. This research focuses on the development of the vision inspection system to process the inspection of an automobile parts. We developed a mechanical devices for the inspection of the injection molding products and an image comparison algorithm to determine the pass/fail result of the inspection based on the molding image and the accepted product image.

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Recognition of Disease in Medical Image (의료영상의 질환인식)

  • 신승수;이상복;조용환
    • The Journal of the Korea Contents Association
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    • v.1 no.1
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    • pp.8-14
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    • 2001
  • In this paper, we suggests a algorithms of recognizing the disease region by extracting particular organ from medical image. This method can extract liver region in spite of input image including many organs and charged format by using multi-threshold of feed-back-structure for segmentation liver region, and suggest the recognition of disease region in extracted liver, using multi-neural network structured by RBF and BP, overcoming the defect of single-neural network. The algorithm in this paper is proficient in adaptation for a multi form change of input medical image. This algorithm can be used at tole-medicine through automatic recognition after recognizing of the disease region by real-tire medical Image.

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Improvement of Image Processing Algorithm for Particle Size Measurement Using Hough Transform (Hough 변환을 이용한 입경 측정을 위한 영상처리 알고리즘의 개선)

  • Kim, Yu-Dong;Lee, Sang-Yong
    • Journal of ILASS-Korea
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    • v.6 no.1
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    • pp.35-43
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    • 2001
  • Previous studies on image processing techniques for panicle size measurement usually have focused on a single panicle or weakly overlapped particles. In the present work, the image processing algorithm for particle size measurement has been improved to process heavily-overlapped spherical-particle images. The algorithm consists of two steps; detection of boundaries which separate the images of the overlapped panicles from the background and the panicle identification process. For the first step, Sobel operator (using gray-level gradient) and the thinning process was adopted, and compared with the gray-level thresholding method that has been widely adopted. In the second, Hough transform was used. Hough transform is the detection algorithm of parametric curves such as straight lines or circles which can be described by several parameters. To reduce the measurement error, the process of finding the true center was added. The improved algorithm was tested by processing an image frame which contains heavily overlapped spherical panicles. The results showed that both the performances of detecting the overlapped images and separating the panicle from them were improved.

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Moving Object Tracking using Differential Image (차영상을 이용한 이동 객체 추적)

  • 오명관;한군희;최동진;전병민
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.396-400
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    • 2004
  • In this study, we have proposed the tracking system of single moving object. The tracking system was estimated motion using differential image, and than track the moving object by controlled Pan/Tilt device of camera. Proposed tracking system is devided into image acquisition and preprocessing phase, motion estimation phase and object tracking phase. To estimation the motion, differential image method was used. In the binary differential image, decision of threshold value was used adaptive method. And in grouping the object area, block_based recursive labeling algorithm was used. As a result of experiment, motion of moving object can be estimated. The result of tracking, object was not lost and object was tracked correctly.

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A Study on the Real-time Distributed Content-based Web Image Retrieval System using PC Cluster (PC 클러스터를 이용한 실시간 분산 웹 영상 내용기반 검색 시스템에 관한 연구)

  • 이은애;하석운
    • Journal of Korea Multimedia Society
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    • v.4 no.6
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    • pp.534-542
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    • 2001
  • Recent content-based image retrieval systems make use of a local single server contained a limited number of images. So these systems are not satisfactory for the Web user's needs that make request for various images on the Web. A content-based image retrieval system that has regard for a great number of Web images has to stand on the basis of real-time first of all. Therefore, to implement the above system we have to resolve a problem of large waste time to take for an image collection and feature extractions. In recent, PC clusters with a load distribution are implemented for the purpose of high-performance data processing. In this paper, we decreased the whole retrieval time by distributing the tasks of image collection and feature extraction to take much time among the slave computers of the PC cluster, and so we found the possibility of the real-time processing in the retrieval of Web images.

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A Study on the Application of World Wide Web(WWW) Image Files to Visual Material in Lecture -In Case of Landscape Aesthetics- (WWW 이미지 자료의 시청각교재 활용방안에 관한 연구 -조경미학 관련논제를 중심으로-)

  • 정기호
    • Journal of the Korean Institute of Landscape Architecture
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    • v.27 no.2
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    • pp.108-118
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    • 1999
  • This study aims to apply World Wide Web(WWW) image files to visual material in lectures. Especially handles "Aesthetics of Landscape Architecture." Visual Materials of 800 web sites were searched and analyzed. It is found that web search needs a subject oriented web guide. It says now a need of application web material to lectures. Matching the web images with the subjects of lecture, above all, is the main approach of this study. Thus, a list up method is supposed, series of web image data to be inclusive in two tables. The data distribute on sub-subject, and applicant as materials in picturing objects of slide show, web guide, and single image. Two cases of lecture subjects were chosen in this study. A case that needs various visual materials and other case of advanced materials that needs a special web guide. Chance of results of this study is not yet fully clear in real lecture. It is sure, as an article of cyber lecture that provided result of increasingly participant's interest. By this study, it will be possible a fully made lecture material by further study.her study.

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Crack Detection and Sorting of Eggs by Image Processing (영상처리에 의한 계란의 파란 검출 및 선별)

  • Cho, H.K.;Kwon, Y.;Cho, S.K.
    • Korean Journal of Poultry Science
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    • v.22 no.4
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    • pp.233-238
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    • 1995
  • A computer vision system was built to generate images of a single, stationary egg. This system includes a CGD camera, a frame grabber, and incandescent back lighting system. Image processing algorithms were developed to inspect egg shell and to sort eggs. Those values of both gray level and area of dark spots in the egg image were used as criteria to detect holes in egg and those values of both area and roundness of dark spots in the egg image were used to detect cracks in egg. For a sample of 300 eggs, this system was able to correctly analyze an egg for the presence of a defect 97.5% of the time. The weights of eggs were found to be linear to both the projected area and the perimeter of eggs viewed from above. Those two values were used as criteria to sort eggs. The coefficients of determination(r$^2$) for the regression equations between weights and those two values were 0.967 and 0.972 in the two sets of experiment. Accuracies in grading were found to be 95.6% and 96.7% as compared with results from sizing by electronic weight scale.

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