• Journal of Information Processing Systems
• /
• v.14 no.6
• /
• pp.1331-1346
• /
• 2018

Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing the pseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used to represent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, the improved partial differential method is used to smooth the defect image. Secondly, the triqubit-state is characterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast to achieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image is outputted according to the quantum measurement, local gradient maximization and neighborhood chain code searching. Compared with other methods, the simulation experiments indicate that our algorithm has less pseudo edges and higher edge detection accuracy.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.10
• /
• pp.4108-4125
• /
• 2015

This paper presents a scalable coding method for depth images by considering the quality of synthesized images in virtual views. First, we design a new edge detection algorithm that is based on calculating the depth difference between two neighboring pixels within the depth map. By choosing different thresholds, this algorithm generates a scalable bit stream that puts larger depth differences in front, followed by smaller depth differences. A scalable scheme is also designed for coding depth pixels through a layered sampling structure. At the receiver side, the full-resolution depth image is reconstructed from the received bits by solving a partial-differential-equation (PDE). Experimental results show that the proposed method improves the rate-distortion performance of synthesized images at virtual views and achieves better visual quality.

• Transactions on Control, Automation and Systems Engineering
• /
• v.3 no.4
• /
• pp.283-288
• /
• 2001

In this paper, we proposed a method for extracting facial characteristics of human being in an image. Given a pair of gray level sample images taken with and without human being, the face of human being is segmented from the image. Noise in the input images is removed with the help of Gaussian filters. Edge maps are found of the two input images. The binary edge differential image is obtained from the difference of the two input edge maps. A mask for face detection is made from the process of erosion followed by dilation on the resulting binary edge differential image. This mask is used to extract the human being from the two input image sequences. Features of face are extracted from the segmented image. An effective recognition system using the discrete wave let transform (DWT) is used for recognition. For extracting the facial features, such as eyebrows, eyes, nose and mouth, edge detector is applied on the segmented face image. The area of eye and the center of face are found from horizontal and vertical components of the edge map of the segmented image. other facial features are obtained from edge information of the image. The characteristic vectors are extrated from DWT of the segmented face image. These characteristic vectors are normalized between +1 and -1, and are used as input vectors for the neural network. Simulation results show recognition rate of 100% on the learned system, and about 92% on the test images.

• Journal of the Korean Society of School Health
• /
• v.14 no.2
• /
• pp.249-268
• /
• 2001

This study was carried out to identify the effects of an art therapy program based on reality therapy on the weight control, body image, and self-esteem of college students. The program was developed by the authors. The design was a pretest-post test control group design. The subjects were college students attending M college : 8 in experimental group A, 6 in experimental group 2, who wanted to control their body weight and 16 in the control group who didn't attend the program those in the experimental group attended the program once (group A) or twice (group B) per week meeting a total of six times. The data were analyzed by quantity method (SPSS 10.0 program) and quality method(process analysis). The results were as follows : 1. The average obesity index of pre-test, post-test, and a follow-up test decreased from 8.9% to 6.1%, 3.7%. And the rate of decrease both pre-post and post-follow up were statistically significant 2. The average obesity index of group A decreased from 9.6% to 6.3%, 4.1% and the rate of decrease between pre and post were statistically significant. But the rate of decrease between post and follow-up were statistically not significant 3. The average obesity index of group B decreased from 7.8% to 5.8%, 3.1% and the rate of decrease between pre and post were not significant statistically. But the rate of decrease between post and follow-up were statistically significant 4. The average scores of pre and post body image increased and were statistically significant : group A from 129.0 to 153.5, group B from 127.7 to 155.2. 5. The average scores of pre and post semantic differential method increased and were statistically significant: group A from 38.1 to 44.1, group B from 38.0 to 45.0. 6. The average scores of pre and post self-esteem increased: group A increased from 37.3 to 40.3 and were statistically significant, group B increased from 36.5 to 39.5 but was statistically insignificant 7. The average scores of pre and post obesity rate, body image, semantic differential method and self-esteem in the control group were not statistically significant 8. The pre and post scores of body image(p=.001), semantic differential method(p=.001) and self-esteem(p=.039) between experimental and control group were statistically significant. 9. In Duncan multiple comparison, it was not statistically significant between group A and B, but statistically significant between group A and the control group, group B and the control group in obesity index, body image, semantic differential method. There was no statistically significance among the three groups in self esteem 10. In Duncan multiple comparison, group A gained higher scores than group B in obesity index(-1.2%), and self esteem(0. 3). Group B gained higher scores than group A in body image(3. 0), and semantic differential method(1. 0). So it is difficult to conclude whether group A or B is more effective. In conclusion, the art therapy program based on reality therapy was effective in weight the control program of college students: obesity was decreased, the scores of body image and semantic differential method and self-esteem were increased. The scores of group A were increased more than group Band were statistically significant, The time interval was a very important factor in this program. The recommendation is : the validity of this program has to be tested through various subjects and in various areas. And also this program has to be tested in other topics.

• Journal of Institute of Control, Robotics and Systems
• /
• v.22 no.10
• /
• pp.811-816
• /
• 2016

In light of recently developed 3D printers for rapid prototyping, there is increasing attention on the 3D scanner as a 3D data acquisition system for an existing object. This paper presents a prototypical 3D scanner based on a striped laser light image. In order to solve the problem of shadowy areas, the proposed 3D scanner has two cameras with one laser light source. By using a horizontal rotation table and a rotational arm rotating about the latitudinal axis, the scanner is able to scan in all directions. To remove an additional optical filter for laser light pixel extraction of an image, we have adopted a differential image method with laser light modulation. Experimental results show that the scanner's 3D data acquisition performance exhibited less than 0.2 mm of measurement error. Therefore, this scanner has proven that it is possible to reconstruct an object's 3D surface from point cloud data using a 3D scanner, enabling reproduction of the object using a commercially available 3D printer.

• Proceedings of the IEEK Conference
• /
• 2002.06d
• /
• pp.359-362
• /
• 2002

In this paper, we propose a new feature-based text watermarking for the binary text image. The structure of specific characters from preprocessed text image are modified to embed watermark. Watermark message are embedded and detected by the following method; Hole line disconnect using the connectivity of the character containing a hole, Center line shift using the hole area and Differential encoding using difference of flippable score points. Experimental results show that the proposed method is robust to rotation and scaling distortion.

• Journal of Navigation and Port Research
• /
• v.28 no.9
• /
• pp.821-825
• /
• 2004

The purpose of this study is the assessment of changes in the leisure patterns of users of the Eulsook-do before and after the estuary dike construction. The following survey research method was conducted to implement the study, sampling by age was carried out selectively and randomly alike. A total of 319 persons were chosen for final analysis, excluding questionnaires answered found to be inappropriate. To measure the image of the lower Nakdong River around the Eulsook-do, with advice sought from experts, researchers, through several pilot tests, developed a 24-item semantic differential scale(SDS) that has two bi-polar adjectives at each end Study of the pre- and post- construction images of the Eulsook-do located on the coast of Busan suggests the dike construction has brought about negative changes in the Eulsook-do's overall image. There can be two alternatives for improving the negative image: restoration and development.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.19 no.4
• /
• pp.639-648
• /
• 1994

This paper presents a new block matching algorithm in estimation of motion information that is important technology in compressing interframe. In estimation of motion information, we find differential image using two successive frame image in order to find required real time processing and accurate moving vector, the binary image is made of edge and find more accurate moving vectors by application quadtree method to parts including many moving according to this activity. The computer simulation results show that increased PSNR and reduced computation time.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.7
• /
• pp.17-24
• /
• 2015

In this paper, we propose a method to solve ghosting problem. To generate adaptive background, using an exponentially decreasing number of frames, may improve object detection performance. To extract moving objects from the background by using a differential image, detection error may be caused by object rotations or environmental changes. A ghosting problem can be issue-driven when there are outdoor environmental changes and moving objects. We studied that a differential image by adaptive background may reduce the ghosting problem. In experimental results, we test that our method can solve the ghosting problem.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.28 no.5
• /
• pp.570-581
• /
• 2004

The purpose of this study is to analyze the acceptance and interpretation of pop musician's image in the Korean youth subculture, Fan Costume play(Fancos). Fancos subculture took the most active attitude to accepts of the pop musician's image and therefore was assumed to have various and differential acceptance aspects. The ethnographic method was used in order to approach more closely from their point of view. The cultural activity of Fancos subculture was imitation and reappearance of pop musician's appearance. Actually Fancos is a kind of fan-culture which idolized Korean pop music star. The acceptance of musician's appearance in Fancos is found out in two aspects. One is passive acceptance aspects that inforces conformity of star fashion and follows servilely ideal body image which promoted by cultural industry. The other is unique acceptance aspects that Fancos members interpret the musician's image in their own way. Those members experience pleasure through their own meaning. And homology of their appearance makes a distinction between of themselves from other youth and intensifies their group identity. As above analyzed, Fancos subculture has differential acceptance of pop music star's image comparing to other youth and even their stylistic appearance reflects not only their fandom but also their own meaning. Consequently, pop musician's image as a popular cultural text is accepted not equal to all populace but dissimilar along with contexts and trails of the acceptance group.