• Title/Summary/Keyword: 영상 접합조작

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Selective Feature Extraction Method Between Markov Transition Probability and Co-occurrence Probability for Image Splicing Detection (접합 영상 검출을 위한 마르코프 천이 확률 및 동시발생 확률에 대한 선택적 특징 추출 방법)

  • Han, Jong-Goo;Eom, Il-Kyu;Moon, Yong-Ho;Ha, Seok-Wun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.4
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    • pp.833-839
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    • 2016
  • In this paper, we propose a selective feature extraction algorithm between Markov transition probability and co-occurrence probability for an effective image splicing detection. The Features used in our method are composed of the difference values between DCT coefficients in the adjacent blocks and the value of Kullback-Leibler divergence(KLD) is calculated to evaluate the differences between the distribution of original image features and spliced image features. KLD value is an efficient measure for selecting Markov feature or Co-occurrence feature because KLD shows non-similarity of the two distributions. After training the extracted feature vectors using the SVM classifier, we determine whether the presence of the image splicing forgery. To verify our algorithm we used grid search and 6-folds cross-validation. Based on the experimental results it shows that the proposed method has good detection performance with a limited number of features compared to conventional methods.

Color Image Splicing Detection using Benford's Law and color Difference (밴포드 법칙과 색차를 이용한 컬러 영상 접합 검출)

  • Moon, Sang-Hwan;Han, Jong-Goo;Moon, Yong-Ho;Eom, Il-Kyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.5
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    • pp.160-167
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    • 2014
  • This paper presents a spliced color image detection method using Benford' Law and color difference. For a suspicious image, after color conversion, the discrete wavelet transform and the discrete cosine transform are performed. We extract the difference between the ideal Benford distribution and the empirical Benford distribution of the suspicious image as features. The difference between Benford distributions for each color component were also used as features. Our method shows superior splicing detection performance using only 13 features. After training the extracted feature vector using SVM classifier, we determine whether the presence of the image splicing forgery. Experimental results show that the proposed method outperforms the existing methods with smaller number of features in terms of splicing detection accuracy.

Efficient Markov Feature Extraction Method for Image Splicing Detection (접합영상 검출을 위한 효율적인 마코프 특징 추출 방법)

  • Han, Jong-Goo;Park, Tae-Hee;Eom, Il-Kyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.9
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    • pp.111-118
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    • 2014
  • This paper presents an efficient Markov feature extraction method for detecting splicing forged images. The Markov states used in our method are composed of the difference between DCT coefficients in the adjacent blocks. Various first-order Markov state transition probabilities are extracted as features for splicing detection. In addition, we propose a feature reduction algorithm by analysing the distribution of the Markov probability. After training the extracted feature vectors using the SVM classifier, we determine whether the presence of the image splicing forgery. Experimental results verify that the proposed method shows good detection performance with a smaller number of features compared to existing methods.

Detection of Spliced Image Using Run-length of Wavelet Coefficients and Statistical Moments (웨이블릿 계수의 런-길이와 통계적 모멘트를 이용한 접합 영상 검출)

  • Kim, Tae-Hyung;Han, Jong-Goo;Park, Tae-Hee;Eom, Il-Kyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.5
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    • pp.152-159
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    • 2014
  • In this paper, we introduce a run-length for wavelet coefficients and present a image splicing detection method using the statistical moments for the wavelet run-length. Various pre-processings for the suspicious image are performed to emphasize the discontinuous edges caused by the image splicing. The proposed scheme has the merit that can exploit the various statistical characteristics of the wavelet transform. We extracted up to 72 features, and performed training and testing using SVM(support vector machine). Experimental results showed that the proposed method generates similar detection results compared to the existing methods. In addition, we showed the wavelet domain run-length is useful to detect the spliced image.

로봇기술을 응용한 원자력발전소에서의 극한 작업 무인 자동화

  • 이재경;김승호
    • ICROS
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    • v.2 no.5
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    • pp.49-55
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    • 1996
  • 원자력발전소의 안전성 향상을 위해서는 새로 개발되는 각종 신기술들이 적극 활용되어야 하며, 이러한 노력의 일환으로 현재 로봇기술을 원자력분야에 접합시키려는 노력이 고조되고 있다. 한국원자력연구소에서는 작업자의 접근이 제한된 고방사선 구역에서의 효율적인 감시점검을 위한 원자력시설 감시점검용 이동형 로봇을 개발하였다. 환경감시 및 감시대상물의 이상상태의 점검 및 판단에 활용하기 위하여 열영상 감시장치, 방사선 준위 분포 관측장치 및 물체인식/추적장치가 탑재되도록 하였으며, 로봇의 주행 및 감시 점검 작업의 원활한 제어를 위하여 입체 영상장치, 가상현실 원격조작장치를 개발하였다. 이동형 로봇에 탑재되어 사용되는 센싱장치들은 로봇에의 탑재 및 분리 사용이 가능하도록 독립 시스템 형태로 설계되어 있기 때문에 이동 장치 없이도 단독적으로 사용이 가능하다. 또한 개발된 이동형 로봇은 원자력시설의 감시점검 뿐만 아니라 실제 사고 발생시의 비상사태에 대응하여 사태진압 및 사후처리 작업에 활용이 가능하며 아울러 비원자력 분야의 극한환경에서의 응용이 가능하다.

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Underlying Etiologic Factor of Recurrent Pneumothorax after Bullectomy (원발성 기흉환자에서 재수술의 원인)

  • 윤용한;이두연;김해균;홍윤주
    • Journal of Chest Surgery
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    • v.32 no.6
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    • pp.556-560
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    • 1999
  • Background: The cause of spontaneous pneumothorax is not yet but it is certain that intrathoracic air comes from ruptured bulla. Video-assisted thoracoscopic surgery(VATS) or open thoracotomy is recommended for thoracic incision in recurrent pneumothorax. However, recurrent rate after bullectomy with the VATS is very high compared to mini-thoracotomy, 3% to 20% and below 2%, respectively. Material and Method: This retrospective analysis was performed on 16 re-operated cases among 446 surgically treated pneumothorax of the 737 cases of spontaneous pneumothorax diagnosed at Yongdong Severance Hospital from Nov. 1992 to June 1997. Result: Among the 446 surgically-treated patients in 737 case of spontaneous pneumothorax, 16 patients underwent re-operation, showing a 3.5% re-operation rate. Male-to-female ratio was 15 to 1 and mean age at initial attack was 20.2 years(ranging from 15 to 50). Mean hospital stay was 6.34 days(ranging from 2 to 20 days) and mean chest tube indwelling period was 4.2 days(ranging from 1-10 days). Median follow-up was 46 months(range 10-66 months). Three different surgical methods were applied : video-assisted thoracoscopic surgery(VAST) in 281 cases, of whom 2 underwent local anesthesia; subaxillary mini-thoracotomy in 159 cases and limited lateral thoracotomy in the remaining 6 cases. Three different re-operative surgical methods were applied ; video-assisted thoracoscopic surgery (VAST) in 6 cases, subaxillary mini-thoracotomy in 9 cases, and limited lateral thoracotomy in the remaining 1 case. The underlying etiological factors of the recurrent pneumothorax after bullectomy were o erlooking type(9) and new growing type(7). Mean recurrent period from previous operation was 1 month for overlooking type and 18 months for new growing type. Conclusion: The underlying etiological factors of recurrent pneumothorax lead to re-operation were new-growing and over-looking type. We need additional treatments besides resecting blebs of prevent the recurrence rate and more gentle handling with forceps due to less damage to the pleura.

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