• 치과방사선
• /
• 제20권1호
• /
• pp.71-78
• /
• 1990

저자는 Panelipse Ⅱ의 상층 및 상의 확대변화를 관찰하기 위하여 모형판에 금속구를 위치시켜 3가지 Profile Index에서 각기 20장씩 방사선사진을 촬영하여 관찰한 결과를 다음과 같이 요약할 수 있었다. Profile Index의 증가에 따른 Panelipse Ⅱ 방사선상의 상층에 있어 모양의 변화는 없었고, 폭은 더 넓어졌으며, 회전축중심에서 외측으로 상층은 이동하였다. 방사선상에서 수평 수직확대는 공히 Profile Index가 증가함에 따라 그 범위가 커졌으며 이는 수평확대에 있어 수직확대보다 현저하였다.

• 한국멀티미디어학회논문지
• /
• 제20권2호
• /
• pp.108-114
• /
• 2017

Lip reading is a field of image processing to assist the process of sound recognition. In some environment, the capture of sound signal usually has significant noise and therefore, the recognition rate of sound signal decreases. Lip reading can be a good feature for the increase of recognition rates. Conventional lip extraction methods have been proposed widely. Maia et. al. proposed a method by the sum of Cr and Cb. However, there are two problems as follows: the point with maximum saturation is not always regarded as lips region and the inner part of lips such as oral cavity and teeth can be classified as lips. To solve these problems, this paper proposes a method which adopts the histogram-based classifier for the extraction of lips region. The proposed method consists of two stages, learning and test. The amount of computation is minimized because this method has no color conversion. The performance of proposed method gives 66.8% of detection rate compared to 28% of conventional ones.

• Journal of Information Processing Systems
• /
• 제19권3호
• /
• pp.289-301
• /
• 2023

Due to the development and dissemination of modern technology, anyone can easily communicate using services such as social network service (SNS) through a personal computer (PC) or smartphone. The development of these technologies has caused many beneficial effects. At the same time, bad effects also occurred, one of which was the spam problem. Spam refers to unwanted or rejected information received by unspecified users. The continuous exposure of such information to service users creates inconvenience in the user's use of the service, and if filtering is not performed correctly, the quality of service deteriorates. Recently, spammers are creating more malicious spam by distorting the image of spam text so that optical character recognition (OCR)-based spam filters cannot easily detect it. Fortunately, the level of transformation of image spam circulated on social media is not serious yet. However, in the mail system, spammers (the person who sends spam) showed various modifications to the spam image for neutralizing OCR, and therefore, the same situation can happen with spam images on social media. Spammers have been shown to interfere with OCR reading through geometric transformations such as image distortion, noise addition, and blurring. Various techniques have been studied to filter image spam, but at the same time, methods of interfering with image spam identification using obfuscated images are also continuously developing. In this paper, we propose a deep learning-based spam image detection model to improve the existing OCR-based spam image detection performance and compensate for vulnerabilities. The proposed model extracts text features and image features from the image using four sub-models. First, the OCR-based text model extracts the text-related features, whether the image contains spam words, and the word embedding vector from the input image. Then, the convolution neural network-based image model extracts image obfuscation and image feature vectors from the input image. The extracted feature is determined whether it is a spam image by the final spam image classifier. As a result of evaluating the F1-score of the proposed model, the performance was about 14 points higher than the OCR-based spam image detection performance.

• 한국콘텐츠학회논문지
• /
• 제10권8호
• /
• pp.217-226
• /
• 2010

사진을 본다는 것은 프레임에 담긴 이미지를 지각하는 과정이다. 사진에 대하여 우리는 감각질료조직을 통해서만 작가의 의도에 접근할 수 있는 것이다. 우리가 사진을 바라볼 때 구체적으로 어떠한 방식으로 이미지를 보는지 검증해보기 위해서 로베르 두아노의 1948년 사진 '비뚫어진 관심'을 대상으로 실험을 실시하였다. 페미니즘 이론가인 매리 앤 도은이 이 사진에 대해 말한 것을 기초로 가설을 수립하고 분석하였다. 시선추적장치인 Tobii를 이용해서 사진을 바라보는 피험자들의 동공의 움직임을 기록함으로써 특정영역에 얼마나 오래 시선이 머무는지 측정하였다. 실험결과 사람들이 사진이미지를 바라볼 때 일정한 흐름을 통해 순차적으로 그것을 본다는 사실이 확인되었다. 동시에 프레임의 부분적 영역에 대하여 피험자들의 응시 강도가 달랐으며 피험자 집단마다에서도 편차가 있었다.

• 정보처리학회논문지D
• /
• 제10D권6호
• /
• pp.1041-1048
• /
• 2003

본 논문은 계기 영상을 캡처하고, 숫자를 자동인식하며 데이터를 PCS 데이터 망을 통하여 무선으로 전송하는 원격 영상 검침 시스템을 구현한다. 기존의 가스/수도 미터기를 그대로 사용하면서 소형, 저가의 흑백 CMOS 카메라를 미터기 계기판 전면에 밀착하여 설치하고 NTSC 카메라 영상을 얻는다. 원격 데이터 전송을 위해 상업적인 PCS 망에서 제공되는 SMS를 이용한다. 계기 영상의 캡처를 위해 DVR 및 숫자 인식 알고리즘을 개발하였다. 이외에 SMS 및 계기 선택기의 하드웨어 및 소프트웨어를 개발하였다.

• 대한음성학회지:말소리
• /
• 제35_36호
• /
• pp.37-48
• /
• 1998

When we hear someone's voice, even without having met the person before, we usually make up a certain mental image of the person. This study aims at investigating the relationship between the voice and the image information carried within the voice. Does the mental picture created by the voice closely reflect the real image and if not, is it related with the real image at all\ulcorner To answer the first question, a perception experiment was carried out. Speech samples reading a short sentence from 8 males and 8 females were recorded and pictures of subjects were also taken. Ajou University students were asked to participate in the experiment to match the voice with the corresponding picture. Participants in the experiment correctly match 1 female voice and 4 male voices with their corresponding pictures. However, it is interesting to note that even in cases of mismatch, the results show that there is a very strong tendency. In other words, even though participants falsely match a certain voice with a certain picture, majority of them chose the same picture for the voice. It is the case for all mismatches. It seems that voice does give the listener a certain impression about physical characteristics even if it might not be always correct. By showing that there is a clear relationship between voice and image, this study provides a starting point for further research on voice characteristics: what characteristics of the voice carry the relevant information\ulcorner This kind of study will contribute toward the understanding of the affective domain of human voice and toward the speech technology.

• 한국군사과학기술학회지
• /
• 제18권3호
• /
• pp.283-292
• /
• 2015

This paper presents the development of the automatic safety inspection technique for the ammunition fuzes using radiography images. The technique inspects 49-ammunition fuze by detecting the X-ray or neutron radiographic images to check whether the fuze is unintendedly armed or/and some major assembled parts are at right place. To execute the program, we loads the image(s) for under test. After reading images, the program conducts a series of pre-image processing, and then starts inspecting input images by using the detection algorithms which are designed distinctively for each fuze. After completing the detection process, the program displays the final result of the fuze status: "safety or danger." Through this program, we can cut off the fuzes which have any doubt about safety, and can only provide absolutely safe fuzes, compared with the current naked eye inspection method.

• 한국멀티미디어학회논문지
• /
• 제17권7호
• /
• pp.806-817
• /
• 2014

The extraction of lip region is essential to Lip Reading, which is a field of image processing to get some meaningful information by the analysis of lip movement from human face image. Many conventional methods to extract lip region are proposed. One is getting the position of lip by using geometric face structure. The other discriminates lip and skin regions by using color information only. The former is more complex than the latter, however it can analyze black and white image also. The latter is very simple compared to the former, however it is very difficult to discriminate lip and skin regions because of close similarity between these two regions. And also, the accuracy is relatively low compared to the former. Conventional analysis of color coordinate systems are mostly based on specific extraction scheme for lip regions rather than coordinate system itself. In this paper, the method for selection of effective color coordinate system and chromaticity transformation to discriminate these two lip and skin region are proposed.

• 한국음향학회지
• /
• 제18권8호
• /
• pp.68-74
• /
• 1999

본 연구에서는 남녀 화자 8명의 목소리를 녹음한 후 전신과 얼굴을 촬영하고 100명의 사람들에게 목소리와 사진을 짝짓는 인지실험을 실시하였다. 그 결과, 8명 중 4명 이상의 목소리를 주인공과 올바로 짝을 지었으며, 전신을 보았을 때가 얼굴만 보았을 때보다 정확도가 높았다. 또 좋은 소리는 좋은 인상보다 더 많은 사람들이 동감하는 것을 알 수 있었다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.274-274
• /
• 2000

In the future, the convenient speech command system will become an widely-using interface in automation systems. But the previous research in speech recognition didn't give satisfactory recognition results for the practical realization in the noise environment. The purpose of this research is the development of a practical system, which reliably recognizes the speech command of the registered users, by complementing an existing research which used the image information with the speech signal. For the lip-reading feature extraction from a image, we used the DWT(Discrete Wavelet Transform), which reduces the size and gives useful characteristics of the original image. And to enhance the robustness to the environmental changes of speakers, we acquired the speech signal by stereo method. We designed an economic stand-alone system, which adopted a Bt829 and an AD1819B with a TMS320C31 DSP based add-on board.