• Journal of Biomedical Engineering Research
• /
• v.28 no.5
• /
• pp.601-608
• /
• 2007

2 Dimensional Gel Electrophoresis(2DGE) is an essentialmethodology for analysis on the expression of various proteins. For example, information for the location, mass, expression, size and shape of the proteins obtained by 2DGE can be used for diagnosis, prognosis and biological progress by comparison of patients with the normal persons. Protein spot matching for this purpose is comparative analysis of protein expression pattern for the 2DGE images generated under different conditions. However, visual analysis of protein spots which are more than several hundreds included in a 2DGE image requires long time and heavy effort. Furthermore, geometrical distortion makes the spot matching for the same protein harder. In this paper, an iterative algorithm is introduced for more efficient spot matching. Proposed method is first performing global matching step, which reduces the geometrical difference between the landmarks and the spot to be matched. Thus, movement for a spot is defined by a weighted sum of the movement of the landmark spots. Weight for the summation is defined by the inverse of the distance from the spots to the landmarks. This movement is iteratively performed until the total sum of the difference between the corresponding landmarks is larger than a pre-selected value. Due to local distortion generally occurred in 2DGE images, there are many regions in whichmany spot pairs are miss-matched. In the second stage, the same spot matching algorithm is applied to such local regions with the additional landmarks for those regions. In other words, the same method is applied with the expanded landmark set to which additional landmarks are added. Our proposed algorithm for spot matching empirically proved reliable analysis of protein separation image by producing higher accuracy.

• Journal of Korea Multimedia Society
• /
• v.8 no.10
• /
• pp.1322-1328
• /
• 2005

The circulation flows passing through the Ekman boundary layer on the rotating disk and transfer the angular momentum into the interior region of the container. Consequently, the circulation enhances the momentum transfer and the interior fluid is divided by a propagating shear front. This investigation focuses on computer vision and image processing technique for analysis of Non-Newtonian Fluids. To visualize marching velocity shear front for the transient flow, a particular shaped particles and light are used. To validate the proposed method, quantitative image are compared with the optical data acquired by a direct measurement of LDV (Laser Doppler Velocimetry).

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.4
• /
• pp.826-832
• /
• 2016

In this paper, we propose a tongue diagnosis system for determining the presence of specific taste crack area as a first step in the digital tongue diagnosis system that anyone can use easily without special equipment and expensive digital tongue diagnosis equipment. Training DB was developed by the Haar-like feature, Adaboost learning on the basis of 261 pictures which was collected in Oriental medicine. Tongue candidate regions were detected from the input image by the learning results and calculated the average value of the HUE component to separate only the tongue area in the detected candidate regions. A tongue area is separated through the Connected Component Labeling from the contour of tongue detected. The palate regions were divided by the relative width and height of the tongue regions separated. Image on the taste area is converted to gray image and binarized with each of the average brightness values. A crack in the presence or absence was determined via Connected Component Labeling with binary images.

• Journal of Korea Multimedia Society
• /
• v.16 no.12
• /
• pp.1385-1392
• /
• 2013

There is a variety of researches about recognition system using biometric data these days. In this study, we propose a new algorithm, uses simultaneous equation that made of the edge of objects, to segment an iris region without threshold values from an anterior eye image. The algorithm attempts to find a center area through calculated outskirts information of an iris, and decides the area where the most points are accumulated. To verify the proposed algorithm, we conducted comparative experiments to Hough transform and Daugman's method, based on 50 images anterior eye images. It was found that proposed algorithm is 5 and 75 times faster than on each algorithm, and showed high accuracy of detecting a center point (95.36%) more than Hough transform (92.43%). In foreseeable future, this study is expected to useful application in diverse department of human's life, such as, identification system using an iris, diagnosis a disease using an anterior image.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.9
• /
• pp.2091-2098
• /
• 2010

This paper proposes a hologram data compression scheme that uses the existing image/video compression techniques, in which the existing techniques are modified appropriately to fit to the characteristics of hologram. In this paper we use CGH as the hologram data. The proposed scheme uses the generation characteristics of a CGH to consist of a pre-processing, spatial segmentation of a CGH, frequency-transformation with 2D-DCT (2-dimensional discrete cosine transform), and motion estimation and residual image generation in the frequency-domain. It uses H.264/AVC, the lossless compressor BinHex, and a linear quantizer that we have made. From the experiments the proposed scheme showed the image quality of about 25.4 dB at the compression ratio of 10:1 and about 16.5dB at 90:1 compression ratio.

• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.12
• /
• pp.671-676
• /
• 2016

Recently, according to the limelight of Fintech, simple payment using biometric at smartphone is widely used. In this paper, we propose a new contactless biometric method using thumb image without additional sensors unlike previous biometrics such as fingerprint, iris, and vein recognition. In our method, length, width, and skin texture information are used as features. For that, illumination normalization, skin region segmentation, size normalization and alignment procedures are sequentially performed from the captured thumb image. Then, correlation coefficient is calculated for similarity measurement. To analyze recognition accuracy, genuine and imposter matchings are performed. At result, we confirmed the FAR of 1.68% at the FRR of 1.55%. In here, because the distribution of imposter matching is almost normal distribution, our method has the advantage of low FAR. That is, because 0% FAR can be achieved at the FRR of 15%, the proposed method is enough to 1:1 matching for payment verification.

• The KIPS Transactions:PartA
• /
• v.9A no.2
• /
• pp.259-266
• /
• 2002

In this paper we implemented various image processing filtering using the format converter. This design method is based on realized the large processor-per-pixel array by integrated circuit technology. These two types of integrated structure are can be classify associative parallel processor and parallel process DRAM (or SRAM) cell. Layout pitch of one-bit-wide logic is Identical memory cell pitch to array high density PEs in integrate structure. This format converter design has control path implementation efficiently, and can be utilize the high technology without complicated controller hardware. Sequence of array instruction are generated by host computer before process start, and instructions are saved on unit controller. Host computer is executed the pixel-parallel operation starting at saved instructions after processing start. As a result, we obtained three result that 1) simple smoothing suppresses higher spatial frequencies, reducing noise but also blurring edges, 2) a smoothing and segmentation process reduces noise while preserving sharp edges, and 3) median filtering may be applied to reduce image noise. Median filtering eliminates spikes while maintaining sharp edges and preserving monotonic variations in pixel values.

• Journal of International Society for Simulation Surgery
• /
• v.2 no.2
• /
• pp.90-93
• /
• 2015

The fibula free flap has now become the most reliable and frequently used option for mandible reconstruction. Recently, three dimensional images and printing technologies are applied to mandibular reconstruction. We introduce our recent experience of mandibular reconstruction using three dimensionally planned fibula free flap in a patient with gunshot injury. The defect was virtually reconstructed with three-dimensional image. Because bone fragments are dislocated from original position, relocation was necessary. Fragments are virtually relocated to original position using mirror image of unaffected right side of the mandible. A medical rapid prototyping (MRP) model and cutting guide was made with 3D printer. Titanium reconstruction plate was adapted to the MRP model manually. 7 cm-sized fibula bone flap was designed on left lower leg. After dissection, proximal and distal margin of fibula flap was osteotomized by using three dimensional cutting guide. Segmentation was also done as planned. The fibula bone flap was attached to the inner side of the prebent reconstruction plate and fixed with screws. Postoperative evaluation was done by comparison between preoperative planning and surgical outcome. Although dislocated condyle is still not in ideal position, we can see that reconstruction was done as planned.

• Journal of the Korean Society of Costume
• /
• v.57 no.2 s.111
• /
• pp.29-44
• /
• 2007

The purpose of this study was to classify male consumer groups according to the fashion lifestyle, to examine characteristics, needs and wants of each group, and to find out differences of cosmetics purchasing behavior among each group segment. After surveying 19-50 year old males by making a visit to college, company and home, 584 samples were analyzed by using SPSS(7.0) package program. Factor analysis, cluster analysis, ANOVA, crosstabs and $X^2-test$ were used to analyse collected data. The results of this study were as follows; 1. Twenty-two questionnaires using AIO fashion lifestyle variables produced seven factors; oriented fashion, flaunting brand preference, active preference, information intention, strong personality, reasonable economy and others directivity. Three groups based on oriented seven factors: personality, fashion and economy. 2. The Personality group had strong personal characters in their fashion. Men in this group prefer casual style and were represented by singles and professionals in their 30's. The fashion group pursued fashion trends, formal wears, and high-priced fashions. They were represented by singles with high-income managerial positions in their 19-29 age group. The economy group represented the largest sample in this study(54.5%). Men in this group tended to purchase fashion goods during of good fabrics at discount stores. This group represented married man with average incomes in their 40's. 3. Each of these three groups showed significant differences in cosmetics purchasing behavior. The personality group mainly purchased cosmetics on-line market because of price. The Internet tended to be their primary source of informations. They spent under 10,000won and pursued a simple and clear image. The fashion group purchased cosmetics at department stores to benefit from the knowledge of sales personal and their source of informations in the mass media. They spent over 70,000won monthly and pursued also a simple and clear image. The economy group purchased cosmetics at discount stores because of their wide assortment of products. They spent under 30,000won monthly and pursued a simple and clear image. Each of these groups currently consume different products and have a different concept of future cosmetic products.

• Fashion & Textile Research Journal
• /
• v.16 no.2
• /
• pp.245-254
• /
• 2014

The purpose of this study was to describe 20's to 30's men's fashion lifestyle and develop clusters in grooming related variables. We also tried to interpret profile of clusters, and determine the difference between different level of grooming clusters in appearance care behaviors, and clothing behaviors such as clothing selection, preference of clothing image and design in men's wear. Data was obtained using the survey methods by convenience sampling. Frequency analysis, factor analysis, cluster analysis, chi-square test, and t-test were used for analysis using SPSS 18.0. The result of factor analysis of men's lifestyle show that 5 factors are extracted. Two different clusters were formed after the K-means cluster analysis. We realized that the level of grooming activity is significantly associated with the young men's major expenditure item, and beauty/care items, and the reason for exercise. The level of grooming was strongly associated with clothing selection behaviors. In addition, there is a significant difference in preferred image between two different grooming groups. In the feminine image, HG group favored more than LG group. The preferred design was associated with the degree of grooming as well. Unique and stylish top and bottom styles such as cargo, hiphop, and boots cut were favored more by HG group than LG group. We suggest that we can do market segmentation by the degree of the grooming activity, considering the current men's taste and trend to extend market share.