• 제목/요약/키워드: visual image method

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Image Denoising via Fast and Fuzzy Non-local Means Algorithm

  • Lv, Junrui;Luo, Xuegang
    • Journal of Information Processing Systems
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    • v.15 no.5
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    • pp.1108-1118
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    • 2019
  • Non-local means (NLM) algorithm is an effective and successful denoising method, but it is computationally heavy. To deal with this obstacle, we propose a novel NLM algorithm with fuzzy metric (FM-NLM) for image denoising in this paper. A new feature metric of visual features with fuzzy metric is utilized to measure the similarity between image pixels in the presence of Gaussian noise. Similarity measures of luminance and structure information are calculated using a fuzzy metric. A smooth kernel is constructed with the proposed fuzzy metric instead of the Gaussian weighted L2 norm kernel. The fuzzy metric and smooth kernel computationally simplify the NLM algorithm and avoid the filter parameters. Meanwhile, the proposed FM-NLM using visual structure preferably preserves the original undistorted image structures. The performance of the improved method is visually and quantitatively comparable with or better than that of the current state-of-the-art NLM-based denoising algorithms.

A Study on the Visual Evaluation and Interpretation about Clothing Form and the Surface Image of Detail (의복형태와 디테일에 의한 표면이미지의 시각적 평가)

  • 이경희;이경희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.18 no.5
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    • pp.646-660
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    • 1994
  • The purpose of this study was to investigate the difference of the visual evaluation about Clothing form and the surface image of detail. This study consists of pre-experiment for selecting the method of expression among detail which shows difference of the image and main experiment for identifying the clothing image as clothing form and the suface image of detial. Main experiment is made of factorial design for three variables-clothing form (H-line, A-line, V-line, X-line), detail (frill, tape), direction (width, length). Questionaire consists of 24 semantic differential scale expressing clothing form and detail. The subjects were 100 female students majoring in clothing and textile.7he data were analyzed by Frequencey, Factor analysis, Anova, scheffe's test and MCA method. The major findings were; 1) The image of clothing form and the surface image of detail were composed of 5 factors; attractiveness, prettiness, attention, modern, young. 2) For the visual evaluation of clothing form as the surface image of detail, there were significant differences in prettiness and attention factors. For the pretty and attentive image, we should express by the image of frill. 3) For the visual evaluation of the image of detail as clothing forms variation, there were significant difference in prettiness by A-line and X-line. 4) For the effect of clothing form and the surface image of detail, main effect was significant in attractiveness, prettiness, attention, modern factor. For the pretty image of clothing, it will be expressed by the image of frill and A-line, X-line. For the attentive image of clothing, it will be expressed by the image of frill and V-line. For the modern image of clothing, it will be expressed by the image of tape and V-line.

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Image Cryptographic Algorithm Based on the Property of Wavelet Packet Transform (웨이브렛 패킷 변환의 특성을 이용한 영상 암호화 알고리즘)

  • Shin, Jonghong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.2
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    • pp.49-59
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    • 2018
  • Encryption of digital images has been requested various fields. In the meantime, many algorithms based on a text - based encryption algorithm have been proposed. In this paper, we propose a method of encryption in wavelet transform domain to utilize the characteristics of digital image. In particular, wavelet transform is used to reduce the association between the encrypted image and the original image. Wavelet packet transformations can be decomposed into more subband images than wavelet transform, and various position permutation, numerical transformation, and visual transformation are performed on the coefficients of this subband image. As a result, this paper proposes a method that satisfies the characteristics of high encryption strength than the conventional wavelet transform and reversibility. This method also satisfies the lossless symmetric key encryption and decryption algorithm. The performance of the proposed method is confirmed by visual and quantitative. Experimental results show that the visually encrypted image is seen as a completely different signal from the original image. We also confirmed that the proposed method shows lower values of cross correlation than conventional wavelet transform. And PSNR has a sufficiently high value in terms of decoding performance of the proposed method. In this paper, we also proposed that the degree of correlation of the encrypted image can be controlled by adjusting the number of wavelet transform steps according to the characteristics of the image.

Robust Position Tracking for Position-Based Visual Servoing and Its Application to Dual-Arm Task (위치기반 비주얼 서보잉을 위한 견실한 위치 추적 및 양팔 로봇의 조작작업에의 응용)

  • Kim, Chan-O;Choi, Sung;Cheong, Joo-No;Yang, Gwang-Woong;Kim, Hong-Seo
    • The Journal of Korea Robotics Society
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    • v.2 no.2
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    • pp.129-136
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    • 2007
  • This paper introduces a position-based robust visual servoing method which is developed for operation of a human-like robot with two arms. The proposed visual servoing method utilizes SIFT algorithm for object detection and CAMSHIFT algorithm for object tracking. While the conventional CAMSHIFT has been used mainly for object tracking in a 2D image plane, we extend its usage for object tracking in 3D space, by combining the results of CAMSHIFT for two image plane of a stereo camera. This approach shows a robust and dependable result. Once the robot's task is defined based on the extracted 3D information, the robot is commanded to carry out the task. We conduct several position-based visual servoing tasks and compare performances under different conditions. The results show that the proposed visual tracking algorithm is simple but very effective for position-based visual servoing.

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Difference in the Visual Preference of the Bridges - The Case of the Han River - (교량의 시각적 선호도의 차이 - 한강의 교량을 대상으로 -)

  • Huh, Joon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.30 no.2
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    • pp.1-11
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    • 2002
  • The purpose of this study is to investigate landscape image and define elements of difference in visual preference of bridges on the Han River. To do this end, video was used as a media for the evaluation of the landscape image of 16 bridges on the Han River using a Semantic Differential scale. Data is collected by 50 students from Woosuk University, majoring landscape architecture. Final analysis utilized a total of 704 samples of data. Data is analyzed through descriptive statistics, and spatial image is analyzed by factor analysis algorithm Principle component analysis using Varimax method is applied far extraction and factor rotation. T-test is used to find the difference between the bridge type of preference with the data of factor score. Logistic regression is used to select the factors that influences the visual preference among the image factors. The results of this study can be summarized as follows; The image of whole bridges on the Han River is somewhat orderly, sequential and open. The degree of visual preference of unique bridge type is higher than normal but there are some differences in visual preference within the same type of structure. This suggests that the surrounding landscape is one of the important factor for visual preference. Factors covering the image of bridge are found to be 'aesthetic', 'structure','spatial factor', and 'shape'. Total variance is obtained as 60.4%. The aesthetic variables are the most important factor for visual preference and the structural factor presents no significant difference in visual preference between more preferred and less preferred bridges. Since the collapse of Songsu Bridge, we thought the structural factor is very important but the results of this study suggest that it is more important to consider the aesthetic and spatial factors of the bridge to increase the visual preference when planning and designing bridges. Simulations with more detailed data about surroundings should be utilized practical design.

Real-time Visual Tracking System and Control Method for Laparoscope Manipulator (복강경 수술용 도구의 실시간 영상 추적 및 복강경 조종기의 지능형 제어 방법)

  • 김민석;허진석;이정주
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.11
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    • pp.83-90
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    • 2004
  • In this paper we present a new real-time visual servoing unit for laparoscopic surgery This unit can automatically control laparoscope manipulator through visual tracking of laparoscopic surgical tool. For the tracking, we present two-stage adaptive CONDENSATION(conditional density propagation) algorithm to extract the accurate position of the surgical tool tip from a surgical image sequence in real-time. This algorithm can be adaptable to abrupt change of laparoscope illumination. For the control, we present virtual damper system to control a laparoscope manipulator safely and stably. This system causes the laparoscope to move under constraint of the virtual dampers which are linked to the four sides of image. The visual servoing unit operates the manipulator in real-time with locating the surgical tool in the center of image. The experimental results show that the proposed visual tracking algorithm is highly robust and the controlled manipulator can present stable view with safe.

Image Contour Extraction Method base on Gestalt Theory (형태 이론에 기반한 이미지 윤곽선 추출 방법)

  • Ha, Chu-Ja;Kim, Cheol-Won
    • Journal of Advanced Navigation Technology
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    • v.13 no.2
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    • pp.257-261
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    • 2009
  • This paper propose a new method using Gestalt theory to extract image contour. The proposed method use Gestalt theory based on proximity, similarity and continuation for grouping objects from image segmentation. It use downward feedback and perception to materialize one visual level in image from heterogeneity visual levels in image. The experimental result show that the proposed method achieves better performance than other methods.

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Experiments on a Visual Servoing Approach using Disturbance Observer (외란 관측기를 이용한 시각구동 방법의 구현)

  • Lee, Joon-Soo;Suh, Il-Hong
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.10
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    • pp.1311-1316
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    • 1999
  • A visual servoing method has been proposed based on disturbance observer to eliminate the effect of the off-diagonal component of image feature Jacobian, since performance indices such as measurement sensitivity of visual features, sensitivity of the control to noise and controllability could be improved when an image feature Jacobian was given as a block diagonal matrix. In this paper, experimental results of disturbance observer-based visual servoing are discussed where Samsung FARAMAN-AS1 6-axis industrial robot manipulator is employed. Also, the feature saturator is proposed to stabilize the disturbance observer loop by saturating the differential changes of the image features.

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Emotional Image Quality Evaluation Technology for Display Devices

  • Lee, Eun-Jung;Lee, Seung-Bae
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.23 no.3
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    • pp.10-17
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    • 2009
  • In this paper, we explained the relation between evaluating display device and emotional image quality evaluation in human perceptual view. It is also suggested two emotional image quality evaluation method of display reflecting human visual function. One is the color space of CIECAM02 and the other is capturing moving image. It is necessary to standardize the evaluation methods of image quality based on emotional evaluation.

A Study on the Image Evaluation for hight accessibility in Museum for Children (어린이박물관 전시공간의 접근도 향상을 위한 이미지평가 연구)

  • Song, Jung-Hwa;Lim, Che-Jin;Yu, Eun-Mi
    • Korean Institute of Interior Design Journal
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    • v.20 no.2
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    • pp.20-29
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    • 2011
  • This research is based on the environmental psychology model of Albert Mehrabian & JAMES a. Russell. The purpose of this research is to search a method of planning a spatial image improving the degree of access that is audience's dependent response to a display space image of a museum for children. A museum for children is the place for education with experience and its main audience is children and parents. It indicates with a basis of the environmental psychology model that a designer needs to consider the emotional response of children and parents in designing the space. The space design starts from a plan of space image that is delivered to audience through the five senses. Image on the space means visual image as people acquire information mostly through the sense of sight. Visual image consists of shape, the feel of a material, and color that is the most influential factor to the sensibility of audience. Therefore, firstly, this research measures the degree of audience's approach and avoidence on image of display space. In addition, this research suggests the improvement method by analyzing differences on the access of each space and audience based on visual image. Secondly, four factors are extracted through factor analysis based on the result of adjective survey result.