• Title/Summary/Keyword: Small Image

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Electronic Image Stabilization for Portable Thermal Image Camera (휴대용 열 영상 관측 장비를 위한 전자적 영상 안정화)

  • Kim, Jong-ho
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.3
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    • pp.288-293
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    • 2016
  • Electronic Image Stabilization(EIS) is widely used as a technique for correcting a shake of an image. The case requiring the EIS function has been increased in high magnification thermal image observation on portable military equipment. Projection Algorithm(PA) for EIS is easy to implement but its performance is sensitive to the projection area. Especially, projection profiles of thermal image have very modest change and are difficult to extract image shifts between frames. In this paper, we proposed algorithm to extract a feature image for the thermal image and compared Block Matching Algorithm(BMA) with PA using our proposed feature image. When using our proposed feature image, BMA was simply implemented using FPGA's internal small memory. And we were able to obtain 30 % PSNR improved results compared to PA.

Improvement of Steganalysis Using Multiplication Noise Addition (곱셉 잡음 첨가를 이용한 스테그분석의 성능 개선)

  • Park, Tae-Hee;Eom, Il-Kyu
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.49 no.4
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    • pp.23-30
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    • 2012
  • This paper proposes an improved steganalysis method to detect the existence of secret message. Firstly, we magnify the small stego noise by multiplying the speckle noise to a given image and then we estimate the denoised image by using the soft thresholding method. Because the noises are not perfectly eliminated, some noises exist in the estimated cover image. If the given image is the cover image, then the remained noise will be very small, but if it is the stego image, the remained noise will be relatively large. The parent-child relationship in the wavelet domain will be slighty broken in the stego image. From this characteristic, we extract the joint statistical moments from the difference image between the given image and the denoised image. Additionally, four statistical moments are extracted from the denoised image for the proposed steganalysis method. All extracted features are used as the input of MLP(multilayer perceptron) classifier. Experimental results show that the proposed scheme outperforms previous methods in terms of detection rates and accuracy.

Perceptions and Image Analysis of Elementary Students on Scientists studying Small Organisms (작은 생물을 연구하는 과학자에 대한 초등학생들의 인식 및 이미지 분석)

  • Choi, Youngmi;Hong, Seung-Ho
    • Journal of Korean Elementary Science Education
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    • v.33 no.4
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    • pp.655-673
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    • 2014
  • We investigated perceptions and image analysis on scientists studying small organisms reflected in elementary student's drawing using a modified version of the Drawing-A-Scientist-Test. The participants were 530 of fifth and sixth graders consisted of 449 ordinary students and 81 science gifted students. The data were collected from associated words, images and explanatory notes depicted by students engaged in questionnaires. The results indicated that a larger number of students reminded small sized animals and/or plants as words associated with small organisms. In addition, some students depicted anthropomorphic or abstract microorganisms. In this study, more stereotypes of scientists' appearance were exhibited at sixth graders and city region group. Most of the students depicted indicators such as lab coat, glasses, scientific instruments for observing, indoor, male and young, whereas only a few students depicted collaborative work. There was statistically significant difference between girls and boys, because boys perceived male scientists only, while half of girls depicted female. More frequent research instruments and scientific captions were used when science gifted students depicted scientists studying small organisms. These results could be contributed to education on microorganisms in elementary science.

Real Time Image Acquisition System using a Image Intensifier and Position Error Verification (영상증배관을 이용한 실시간 영상획득시스템과 위치오차검증)

  • Lee, Dong-Hoon;Kim, Nam-Hoon;Jeong, Jong-Beom
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.11 no.4
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    • pp.331-338
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    • 2017
  • In this study, a portable x-ray generator was manufactured and a real-time image acquisition system was constructed using the image intensifier from the generated generator. We have developed a real - time position error verification system that can verify whether the artificial joint position is different from the initial image from the acquired image. The template image of the region of interest is extracted from the reference image using the pattern matching technique and compared with the image to be compared. As a result, It is shown that real - time position error verification is achieved by displaying the difference angle. This system is portable type, has a self-shielding facility, and the output of the irradiation device can be manufactured in a small size of 1kw and can be used as a portable type. In case of emergency patients in the non-destructive field for industrial use, It has proved effective for use in small areas such as feet.

Content-Based Image Retrieval System using Feature Extraction of Image Objects (영상 객체의 특징 추출을 이용한 내용 기반 영상 검색 시스템)

  • Jung Seh-Hwan;Seo Kwang-Kyu
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.27 no.3
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    • pp.59-65
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    • 2004
  • This paper explores an image segmentation and representation method using Vector Quantization(VQ) on color and texture for content-based image retrieval system. The basic idea is a transformation from the raw pixel data to a small set of image regions which are coherent in color and texture space. These schemes are used for object-based image retrieval. Features for image retrieval are three color features from HSV color model and five texture features from Gray-level co-occurrence matrices. Once the feature extraction scheme is performed in the image, 8-dimensional feature vectors represent each pixel in the image. VQ algorithm is used to cluster each pixel data into groups. A representative feature table based on the dominant groups is obtained and used to retrieve similar images according to object within the image. The proposed method can retrieve similar images even in the case that the objects are translated, scaled, and rotated.

Compound Image Identifier Based on Linear Component and Luminance Area (직선요소와 휘도영역 기반 복합 정지영상 인식자)

  • Park, Je-Ho
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.1
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    • pp.48-54
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    • 2011
  • As personal or compact devices with image acquisition functionality are becoming easily available for common users, the voluminous images that need to be managed by image related services or systems demand efficient and effective methods in the perspective of image identification. The objective of image identification is to associate an image with a unique identifier. Moreover, whenever an image identifier needs to be regenerated, the newly generated identifier should be consistent. In this paper, we propose three image identifier generation methods utilizing image features: linear component, luminance area, and combination of both features. The linear component based method exploits the information of distribution of partial lines over an image, while the luminance area based method utilizes the partition of an image into a number of small areas according to the same luminance degree. The third method is proposed in order to take advantage of both former methods. In this paper, we also demonstrate the experimental evaluations for uniqueness and similarity analysis that have shown favorable results.

Change Detection of a Small Town Area from Multi-Temporal Aerial Photographs (다시기 항공사진으로부터 소도읍 지역의 변화탐지)

  • Lee, Jin-Duk;Yeon, Sang-Ho;Lee, Dong-Ho
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.131-137
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    • 2004
  • This study presents the application of multi-temporal aerial photographs in detecting change in a small urban area. For the panchromatic aerial images of the scale of 1/20000 and 1/37500 photographed in 1987, 1996 and 2000, image geometric correction and registration were carried out before performing change detection in a common reference system and then image mosaicking. The image differencing technigue was employed to detect urban features and landcover change and then the results were compared to those of image ratioing techniques. Also threshold values were suggested in applying image differencing for change detection.

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Image Compression and Edge Detection Based on Wavelet Transforms (웨이블릿 기반의 영상 압축 및 에지 검출)

  • Jung il Hong;Kim Young Soon
    • Journal of Korea Multimedia Society
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    • v.8 no.1
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    • pp.19-26
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    • 2005
  • The basis function of wavelet transform used in this paper is constructed by using lifting scheme, which is different from general wavelet transform. Lifting scheme is a new biorthogonal wavelet con-structing method, that does not use Fourier transform for constructing its basis function. In this paper, an image compression and reconstruction method using the lifting scheme was proposed. And this method improves data visualization by supporting a partial reconstruction and a local reconstruction. Approx- imations at various resolutions allow extracting various sizes of feature from an image or signal with a small amount of original information. An approximation with small size of scaling coefficients gives a brief outline of features at fast. Image compression and edge detection techniques provide good frame- works for data management and visualization in multimedia database.

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Development of Electronic Portal Imaging Device and Treatment Position Verification for Fractionated Stereotatic Radiotherapy

  • Lee, Dong-Hoon;Ji, Young-Hoon;Lee, Dong-Han;Kim, Yoon-Jong;Chilgoo Byun;Hong, Seung-Hong;Rhee, Soo-Yong
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2002.09a
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    • pp.446-449
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    • 2002
  • The video based electronic portal imaging device (EPID), which could display the portal image in near real time, was implemented to verify treatment position error in FSRT(Fractionated Stereotatic Radiation Therapy) instead of a portal film. Also, Developed FSRT system was composed of the stereotactic frame, frame mounting system and collimator cones. The verification of treatment position is very crucial in special therapies like FSRT. In general, the FSRT uses high dpse rate at small field size for treating small intracranial lesions. To evaluate quantitative positioning errors in FSRT, we used the first FSRT image as reference image and obtained the second FSRT image that was moved 2mm intentionally and detected intracranial contours after image processing. The generated 2mm error could be verified by overlapping only contours of two images. Through this study, the radiation treatment efficiency could be improved by performing precise radiation therapy with a developed video based EPID and FSRT.

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The Study on the Medical Image Compression using the Characteristics of Human Visual System (인간 시각 장치의 특성을 이용한 의학 영상 압축에 관한 연구)

  • Chee, Young-Joon;Park, Kwang-Seok
    • Proceedings of the KOSOMBE Conference
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    • v.1993 no.05
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    • pp.38-41
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    • 1993
  • For efficient transmission and storage of digital images, the requirements of image compression is incresing. Because the medical images contain diagnostic information small distortion has been more important factor than the low rate in such images. Generally the distortion in image is the difference of pixel values. However the image is percieved by human visual systems. So it is reasonable that human visual system characteristics be used as criteria of the image compression. In this paper, the Just Noticeable Difference curve is used as criteria of determining the homogeniety of a block and acceptibility of distortions. And Block Truncation Coding using spatial masking effect of eyes is adopted to code the blocks which contain line components. And small blocks which varies slowly can be approximated to polynomial functions successfully. We proposed the hybrid block coding scheme based on the block characteristics and human visual system characteristics. Simulation to several kinds of the medical images using this method showed that medical images can be compressed 5:1 - 10:1 without noticeable distortion.

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