• Title/Summary/Keyword: Video Image

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Semi-automatic System for Mass Detection in Digital Mammogram (디지털 마모그램 반자동 종괴검출 방법)

  • Cho, Sun-Il;Kwon, Ju-Won;Ro, Yong-Man
    • Journal of Biomedical Engineering Research
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    • v.30 no.2
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    • pp.153-161
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    • 2009
  • Mammogram is one of the important techniques for mass detection, which is the early diagnosis stage of a breast cancer. Especially, the CAD(Computer Aided Diagnosis) using mammogram improves the working performance of radiologists as it offers an effective mass detection. There are two types of CAD systems using mammogram; automatic and semi-automatic CAD systems. However, the automatic segmentation is limited in performance due to the difficulty of obtaining an accurate segmentation since mass occurs in the dense areas of the breast tissue and has smoother boundaries. Semi-automatic CAD systems overcome these limitations, however, they also have problems including high FP (False Positive) rate and a large amount of training data required for training a classifier. The proposed system which overcomes the aforementioned problems to detect mass is composed of the suspected area selection, the level set segmentation and SVM (Support Vector Machine) classification. To assess the efficacy of the system, 60 test images from the FFDM (Full-Field Digital Mammography) are analyzed and compared with the previous semi-automatic system, which uses the ANN classifier. The experimental results of the proposed system indicate higher accuracy of detecting mass in comparison to the previous systems.

An Implementation of a System for Video Translation on Window Platform Using OCR (윈도우 기반의 광학문자인식을 이용한 영상 번역 시스템 구현)

  • Hwang, Sun-Myung;Yeom, Hee-Gyun
    • Journal of Internet of Things and Convergence
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    • v.5 no.2
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    • pp.15-20
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    • 2019
  • As the machine learning research has developed, the field of translation and image analysis such as optical character recognition has made great progress. However, video translation that combines these two is slower than previous developments. In this paper, we develop an image translator that combines existing OCR technology and translation technology and verify its effectiveness. Before developing, we presented what functions are needed to implement this system and how to implement them, and then tested their performance. With the application program developed through this paper, users can access translation more conveniently, and also can contribute to ensuring the convenience provided in any environment.

A LabVIEW-based Video Dehazing using Dark Channel Prior (Dark Channel Prior을 이용한 LabVIEW 기반의 동영상 안개제거)

  • Roh, Chang Su;Kim, Yeon Gyo;Chong, Ui Pil
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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    • pp.101-107
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    • 2017
  • LabVIEW coding for video dehazing was developed. The dark channel prior proposed by K. He was applied to remove fog based on a single image, and K. B. Gibson's median dark channel prior was applied, and implemented in LabVIEW. In other words, we improved the image processing speed by converting the existing fog removal algorithm, dark channel prior, to the LabVIEW system. As a result, we have developed a real-time fog removal system that can be commercialized. Although the existing algorithm has been utilized, since the performance has been verified real - time, it will be highly applicable in academic and industrial fields. In addition, fog removal is performed not only in the entire image but also in the selected area of the partial region. As an application example, we have developed a system that acquires clear video from the long distance by connecting a laptop equipped with LabVIEW SW that was developed in this paper to a 100~300 times zoom telescope.

A People Counting Technique for Video Surveillance and Monitoring(VSAM) Systems (비디오에 의한 감시 및 관측(VSAM) 시스템을 위한 사람의 계수기법)

  • Do, Yong-Tae
    • Journal of Sensor Science and Technology
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    • v.11 no.1
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    • pp.28-38
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    • 2002
  • People are important targets for video surveillance and monitoring(VSAM) but difficult to be analyzed. In this paper, a technique to count people in image sequences is dealt as a prerequisite procedure for automatic tracking and behaviour analysis. A group of people is divided at local minima of the line connecting the highest pixels on the binary image of the people extracted from the image taken by a stationary video camera. As the properties of the divided regions vary according to the relative positions of the people in a group, different states are assigned for the completely occluded, partially occluded, completed separated individual, and wrongly divided regions. By analyzing the transition of the states of divided regions, the number of people on the site monitored is estimated. The technique is checked in real experimental situations.

Segmentation of Moving Multiple Vehicles using Logic Operations (논리연산을 이용한 주행차량 영상분할)

  • Choi Kiho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.1 no.1
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    • pp.10-16
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    • 2002
  • In this paper, a novel algorithm for segmentation of moving multiple vehicles in video sequences using logic operations is proposed. For the case of multiple vehicles in a scene, the proposed algorithm begins with a robust double-edge image derived from the difference between two successive frames using exclusive OR operation. After extracting only the edges of moving multiple vehicles using Laplacian filter, AND operation and dilation operation, the image is segmented into moving multiple vehicle image. The features of moving vehicles can be directly extracted from the segmented images. The proposed algorithm has no the two preprocessing steps, so it can reduce noises which are norm at in preprocessing of the original images. The algorithm is more simplified using logic operations. The proposed algorithm is evaluated on an outdoor video sequence with moving multiple vehicles in 90,000 frames of 30fps by a low-end video camera and produces promising results.

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XCRAB : A Content and Annotation-based Multimedia Indexing and Retrieval System (XCRAB :내용 및 주석 기반의 멀티미디어 인덱싱과 검색 시스템)

  • Lee, Soo-Chelo;Rho, Seung-Min;Hwang, Een-Jun
    • The KIPS Transactions:PartB
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    • v.11B no.5
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    • pp.587-596
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    • 2004
  • During recent years, a new framework, which aims to bring a unified and global approach in indexing, browsing and querying various digital multimedia data such as audio, video and image has been developed. This new system partitions each media stream into smaller units based on actual physical events. These physical events within oath media stream can then be effectively indexed for retrieval. In this paper, we present a new approach that exploits audio, image and video features to segment and analyze the audio-visual data. Integration of audio and visual analysis can overcome the weakness of previous approach that was based on the image or video analysis only. We Implement a web-based multi media data retrieval system called XCRAB and report on its experiment result.

Wavelet Transform Coding for Image Conference (화상회의를 위한 웨이브렛 변환 부호화)

  • 김정일
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.3
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    • pp.73-77
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    • 1999
  • In this paper. wavelet transform coding for image conference is studied. Original video frames are transformed into hierarchical pyramidal images with multiresolution using the band property of wavelet transform coefficients. Moving information between neighboring frames is obtained from the low-resolution band. Also, to control the video coding procedure. a new picture set filter is proposed. This filter controls the compression ratio of each frame depending on the correlation to the reference frame by selectively eliminating less important high-resolution areas. Consequently. video quality can be preserved and bit rate can be controlled adaptively In the simulation, to test the performance of the proposed coding method, comparisons with the full search block matching algorithm and the differential image coding algorithm are made. Consequently. the proposed method shows a reasonably good performance over existing ones.

Shot boundary Frame Detection and Key Frame Detection for Multimedia Retrieval (멀티미디어 검색을 위한 shot 경계 및 대표 프레임 추출)

  • 강대성;김영호
    • Journal of the Institute of Convergence Signal Processing
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    • v.2 no.1
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    • pp.38-43
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    • 2001
  • This Paper suggests a new feature for shot detection, using the proposed robust feature from the DC image constructed by DCT DC coefficients in the MPEG video stream, and proposes the characterizing value that reflects the characteristic of kind of video (movie, drama, news, music video etc.). The key frames are pulled out from many frames by using the local minima and maxima of differential of the value. After original frame(not do image) are reconstructed for key frame, indexing process is performed through computing parameters. Key frames that are similar to user's query image are retrieved through computing parameters. It is proved that the proposed methods are better than conventional method from experiments. The retrieval accuracy rate is so high in experiments.

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Flame detection algorithm using adaptive threshold in thermal video (적응 문턱치를 이용한 열영상 화염 검출 알고리즘)

  • Jeong, Soo-Young;Kim, Won-Ho
    • Journal of Satellite, Information and Communications
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    • v.9 no.4
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    • pp.91-96
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    • 2014
  • This paper proposed an adaptive threshold method for detecting flame candidate regions in a infrared image and it adapts according to the contrast and intensity changes in the image. Conventional flame detection systems uses fixed threshold method since surveillance environment does not change, once the system installed. But it needs a adaptive threshold method as requirements of surveillance system has changed. The proposed adaptive threshold algorithm uses the dynamic behavior of flame as featured parameter. The test result is analysed by comparing test result of proposed adaptive threshold algorithm and conventional fixed threshold method. The analysed data shows, the proposed method has 91.42% of correct detection rate and false detection is reduced by 20% comparing to the conventional method.

A Hierarchical Microcalcification Detection Algorithm Using SVM in Korean Digital Mammography (한국형 디지털 마모그래피에서 SVM을 이용한 계층적 미세석회화 검출 방법)

  • Kwon, Ju-Won;Kang, Ho-Kyung;Ro, Yong-Man;Kim, Sung-Min
    • Journal of Biomedical Engineering Research
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    • v.27 no.5
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    • pp.291-299
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    • 2006
  • A Computer-Aided Diagnosis system has been examined to reduce the effort of radiologist. In this paper, we propose the algorithm using Support Vector Machine(SVM) classifier to discriminate whether microcalcifications are malignant or benign tumors. The proposed method to detect microcalcifications is composed of two detection steps each of which uses SVM classifier. The coarse detection step finds out pixels considered high contrasts comparing with neighboring pixels. Then, Region of Interest(ROI) is generated based on microcalcification characteristics. The fine detection step determines whether the found ROIs are microcalcifications or not by merging potential regions using obtained ROIs and SVM classifier. The proposed method is specified on Korean mammogram database. The experimental result of the proposed algorithm presents robustness in detecting microcalcifications than the previous method using Artificial Neural Network as classifier even when using small training data.