• Journal of Broadcast Engineering
• /
• v.27 no.3
• /
• pp.351-360
• /
• 2022

Image blurring is a phenomenon that occurs due to factors such as movement of a subject and shaking of a camera. Recently, the research for image deblurring has been actively conducted based on convolution neural networks. In particular, the method of guiding the restoration process via the difference between blur and sharp images has shown the promising performance. This paper proposes a novel method for improving the deblurring performance based on the distortion information. To this end, the transformer-based neural network module is designed to guide the restoration process. The proposed method efficiently reflects the distorted region, which is predicted through the global inference during the deblurring process. We demonstrate the efficiency and robustness of the proposed module based on experimental results with various deblurring architectures and benchmark datasets.

• Journal of Advanced Navigation Technology
• /
• v.27 no.1
• /
• pp.126-132
• /
• 2023

Object recognition is a technology that detects and identifies various objects in images and videos. LBP is a descriptor that operates robustly to illumination variations and is actively used in object recognition. LBP considers the range of neighboring pixels, the order of combining the neighbors after the comparison operation, and the starting position of combining. In particular, the starting position of the LBP becomes the "most significant bit"; it dramatically affects the performance of object recognition. In this paper, based on the N starting positions, the data most similar to the input data are searched in each of the N feature spaces. Object recognition is performed by the confidence measure that can compare different results of each feature space under the same criterion and select the most reliable result. In the experimental results, it was confirmed that there is a difference in performance depending on the starting position of LBP. The proposed method showed a high performance of up to 12.66% compared to the recognition performance of the existing LBP.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.120-120
• /
• 2023

본 연구에서는 CCTV 영상 내 빗줄기의 특성을 바탕으로 강우강도를 산정하기 위한 합성곱 신경망(CNNs, Convolutional Neural Networks) 기반 강우강도 산정 모형을 제안하였다. 중앙대학교 및 한국건설생활환경시험연구원 내 대형기후환경시험실에서 얻은 CCTV 영상들을 대상으로 연구를 수행하고, 우적계 등과 같은 지상 관측자료와 강우강도 산정 결과를 비교·검증하였다. 먼저, CCTV 영상 내 빗줄기의 미세한 변동 특성을 반영하기 위해 데이터 전처리 작업을 진행하였다. 이는 원본 영상으로부터 빗줄기 층을 분리해내는 과정, 빗줄기 층에서 빗물 입자를 분리해내는 과정, 그리고 빗물 입자를 인식하는 과정 등 총 세 단계로 구분된다. 합성곱 신경망 기반 강우강도 산정 모형 구축을 위해 영상 전처리가 완료된 데이터들을 입력값으로 설정하고, 촬영 시점에 대응되는 지상관측 자료를 출력값으로 고려하여 강우강도 산정모형을 훈련시켰다. CCTV 원자료 내 특정 영역에 편향되어 강우강도를 산정하는 과적합 현상의 발생을 방지하기 위해 원자료 내 5개의 관심 영역(ROI, Region of Interest)을 설정하였다. 추가로, CCTV의 해상도를 총 4개(2560×1440, 1920×1080, 1280×720, 720×480)로 구분함으로써 해상도 변화에 따른 학습 결과의 차이를 분석·평가하였다. 이는 기존 사례들과 비교했을 때, CCTV 영상을 기반으로 빗줄기의 거동 특성과 같은 물리적인 현상을 직간접적으로 고려하여 강우강도를 산정했다는 점과 더불어 머신러닝을 적용하여 강우 이미지가 갖는 본질적인 특징들을 파악했다는 측면에서, 추후 본 연구에서 제안한 모형의 활용 가치가 극대화될 수 있을 것으로 판단된다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.11a
• /
• pp.5-8
• /
• 2011

최근 영상이나 이미지로부터 사용자가 원하는 정보를 추출해 내고 재구성 하는 영상 인식, 증강 현실 등의 컴퓨터 비전(Computer Vision) 응용들이 각광을 받고 있다. 이러한 컴퓨터 비전 응용들은 그 동안 많은 알고리즘들의 연구를 통해 꾸준히 개선되고 향상되어 왔으나, 많은 계산량을 요구하기 때문에 임베디드 시스템에서는 널리 쓰이기 힘들었다. 하지만 최근 들어, 스마트폰 등의 모바일 기기에서의 계산 처리 능력이 향상 되고, 소비자 수요가 증가하면서, 이러한 컴퓨터 비전 응용은 점점 모바일 기기에서 널리 쓰이게 되고 있다. 하지만, 여전히 이러한 컴퓨터 응용을 수행하기 위한 계산양은 부족하기 때문에, 충분한 연산량을 제공하기 위한 방법론들이 다양하게 제시되고 있다. 본 논문에서는 이러한 컴퓨터 응용을 위한 프로세서 구조로서 재구성형 프로세서(Reconfigurable Architecture)를 제안한다. 컴퓨터 비전 응용 중 사물 인식 분야에서 널리 쓰이는 SIFT(Scale Invariant Feature Transformation)을 분석하고 이를 재구성형 프로세서에 맵핑하여 성능 향상을 꾀하였다. SIFT의 주요 커널들을 재구성형 프로세서 맵핑한 결과 최소 6.5배에서 최대 9.2배의 성능 향상을 이룰 수 있었다.

• Journal of Intelligence and Information Systems
• /
• v.12 no.1
• /
• pp.17-31
• /
• 2006

In this paper, passport recognition and face verification methods which can automatically recognize passport codes and discriminate forgery passports to improve efficiency and systematic control of immigration management are proposed. Adjusting the slant is very important for recognition of characters and face verification since slanted passport images can bring various unwanted effects to the recognition of individual codes and faces. Therefore, after smearing the passport image, the longest extracted string of characters is selected. The angle adjustment can be conducted by using the slant of the straight and horizontal line that connects the center of thickness between left and right parts of the string. Extracting passport codes is done by Sobel operator, horizontal smearing, and 8-neighborhood contour tracking algorithm. The string of codes can be transformed into binary format by applying repeating binary method to the area of the extracted passport code strings. The string codes are restored by applying CDM mask to the binary string area and individual codes are extracted by 8-neighborhood contour tracking algerian. The proposed RBF network is applied to the middle layer of RBF network by using the fuzzy logic connection operator and proposing the enhanced fuzzy ART algorithm that dynamically controls the vigilance parameter. The face is authenticated by measuring the similarity between the feature vector of the facial image from the passport and feature vector of the facial image from the database that is constructed with PCA algorithm. After several tests using a forged passport and the passport with slanted images, the proposed method was proven to be effective in recognizing passport codes and verifying facial images.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.3 no.2 s.5
• /
• pp.19-28
• /
• 2004

This paper shows how to compensate the skew from the traffic sign included in the natural image and extract the text. The research deals with the Process related to the array image. Ail the process comprises four steps. In the first fart we Perform the preprocessing and Canny edge extraction for the edge in the natural image. In the second pan we perform preprocessing and postprocessing for Hough Transform in order to extract the skewed angle. In the third part we remove the noise images and the complex lines, and then extract the candidate region using the features of the text. In the last part after performing the local binarization in the extracted candidate region, we demonstrate the text extraction by using the differences of the features which appeared between the tett and the non-text in order to select the unnecessary non-text. After carrying out an experiment with the natural image of 100 Pieces that includes the traffic sign. The research indicates a 82.54 percent extraction of the text and a 79.69 percent accuracy of the extraction, and this improved more accurate text extraction in comparison with the existing works such as the method using RLS(Run Length Smoothing) or Fourier Transform. Also this research shows a 94.5 percent extraction in respect of the extraction on the skewed angle. That improved a 26 percent, compared with the way used only Hough Transform. The research is applied to giving the information of the location regarding the walking aid system for the blind or the operation of a driverless vehicle

• Journal of Global Scholars of Marketing Science
• /
• v.15 no.2
• /
• pp.71-97
• /
• 2005

Previous studies on brand performance have extensively investigated the topics of how marketing activities influence brand awareness and image only from a perspective of consumers and of how much brand awareness or image is related to brand performances. This study, unlike previous ones, proposes a theoretical framework and analyzes empirical data from a perspective of firms. We extend previous work by considering the mediating effects of brand management system and marketing mix activities on the relation between market orientation and brand performance, Furthermore, this study examines the relationships between market orientation and brand performance using a data set of marketing or brand managers in 1000 firms. The results show that firms possessing higher levels of brand management system, marketing mix, market orientation exhibit superior brand performance. Besides, brand management system and marketing mix play a mediating role between market orientation and brand performance. This study also offers some practical implications and future research questions based on the current findings.

• Journal of KIISE:Computer Systems and Theory
• /
• v.32 no.1
• /
• pp.9-20
• /
• 2005

Recently, the MPEG-7 standard a multimedia content description standard is wide]y used for content based image/video retrieval systems. However, since the descriptors standardized in MPEG-7 are usually multidimensional and the problem called 'Curse of dimensionality', previously proposed indexing methods(for example, multidimensional indexing methods, dimensionality reduction methods, filtering methods, and so on) could not be used to effectively index the multimedia database represented in MPEG-7. This paper proposes an efficient multimedia data indexing mechanism reflecting the characteristics of MPEG-7 visual descriptors. In the proposed indexing mechanism, the descriptor is transformed into a histogram of some attributes. By representing the value of each bin as a binary number, the histogram itself that is a visual descriptor for the object in multimedia database could be represented as a bit string. Bit strings for all objects in multimedia database are collected to form an index file, bitmap index, in the proposed indexing mechanism. By XORing them with the descriptors for query object, the candidate solutions for similarity search could be computed easily and they are checked again with query object to precisely compute the similarity with exact metric such as Ll-norm. These indexing and searching mechanisms are efficient because the filtering process is performed by simple bit-operation and it reduces the search space dramatically. Upon experimental results with more than 100,000 real images, the proposed indexing and searching mechanisms are about IS times faster than the sequential searching with more than 90% accuracy.

• Proceedings of the KAIS Fall Conference
• /
• 2010.11b
• /
• pp.915-918
• /
• 2010

12주간의 유산소 운동 및 복합성 운동이 중년여성의 신체 구성 및 혈중 지질에 미치는 영향을 규명하기 위해 2009년 3월부터 9월까지 일개 D광역시 소재 일개 S구 보건소 12주 운동프로그램에 참가한 40~50대 중년 여성 78명을 대상으로 비만그룹과 정상그룹으로 나누어 주3회, 회당 80분의 유산소 운동과 유산소운동/근력 운동을 병행한 복합성 운동을 목표 심박수 40~60%에서 실시하였다. 1. WHO 기준 적용 시, 정상군의 경우 운동의 유형에 상관없이 유의한 차이가 나타났다. 2. WHO 기준 적용 시, 비만군의 경우 유산소 운동의 근육량, 체지방량, 체지방률을 제외하고 운동의 유형에 상관없이 유의한 차이가 나타났다. 3. 아시아-태평양 기준 적용 시, 정상군의 경우 일부 항목에서만 유의한 차이가 나타났다. 4. 아시아-태평양 기준 적용 시, 비만군의 경우 유산소 운동의 근육량을 제외하고 운동의 유형에 상관 없이 유의한 차이가 나타났다. 상기 결론에서 볼 수 있듯이, 12주간의 운동 프로그램은 WHO 기준 적용 시 일부 항목을 제외하고 운동 유형에 상관없이 40~50대 중년여성의 신체조성 및 혈중지질에 긍정적 효과를 미치는 것으로 판단된다. 그러나 비만에 대해 더 엄격한 아시아 - 태평양 기준 적용 시 특히 정상 군에서 유의한 차이를 보이지 않는 항목이 많이 나타났는데 이것은 우리나라 비만기준을 아시아태평양기준에서 세계 기준으로 바꿀 필요가 있다는 주장을 뒷받침하고 있다. 세계보건기구 WHO는 2004년에 이미 우리나라에 세계비만기준을 따를 것을 권고했는데, 실제 위험성이 정확하게 평가돼야지 정확한 대책이나 관리가 나올 수 있기 때문이다. WHO 기준에 의거 시 질병의 발생 위험도가 낮은 경도비만이 엄격한 아시아-태평양 지역 기준 적용 시 비만으로 분류되어 불필요하게 체형에 대한 부정적인 이미지나 스트레스를 받을 가능성도 있다.

• Journal of Korea Multimedia Society
• /
• v.15 no.6
• /
• pp.737-747
• /
• 2012

Recently, in order to support automatic meter reading for conventional metering devices, an image processing-based approach of recognizing the number meter data in the captured meter images has attracted many researchers' interests. Numerical character segmentation is a very critical process for successful recognition. In this paper, we propose an efficient numeric character segmentation method which can segment numeric characters well for any metering device types under diverse illumination environments. The proposed method consists of two consecutive stages; detection of number area containing all numbers as a tight ROI(Region of Interest) and segmentation of numerical characters in the ROI. Detection of tight ROI is achieved in two steps: extraction of rough ROI by utilizing horizontal line segments after illumination enhancement preprocessing, and making the rough ROI more tight through clipping utilizing vertical and horizontal projection about binarized ROI. Numerical character segmentation in the detected ROI is stably achieved in two processes of 'vertical segmentation of each number region' and 'number segmentation in the each vertical segmented number region'. Through the experiments about a homegrown meter image database containing various meter type images of low contrast, low intensity, shadow, and saturation, it is shown that the proposed numeric character segmentation method performs effectively well for any metering device types under diverse illumination environments.