• Journal of the Institute of Electronics and Information Engineers
• /
• v.52 no.12
• /
• pp.46-54
• /
• 2015

SAR is a Radar to obtain the video information using a radio wave. Platform emit the radio wave, depending backscattered waves returned from the target object the signal to the distance, to create a topographical map is recorded in two-dimensional image. In this paper, through a simulation to apply a variety of window in the SAR image processing for SAR image recovery is to study the application effect of the window, as a result, at the side of the signal of the SNR, Flattop window to improve the best performance it was confirmed to show.

• The Research Journal of the Costume Culture
• /
• v.20 no.3
• /
• pp.416-429
• /
• 2012

The purpose of this study was to examine the effects of VM components(facade color and show window type) on store image and purchasing intention of fashion stores. The subjects were 428 male and female university students in Daejeon and Chungnam province. The measuring instruments were 6 stimuli manipulated by $3{\times}2$ factorial design of facade color and show window type, and a self-administrated questionnaire consisted of store image, purchasing intention, and subjects' demographic characteristics. The results were as follows. First, facade color mainly affected store image and purchasing intention. White color was preferred as more positive images(pleasurable, comfortable, neat, and modern), and showed higher purchasing intention than brown color. Second, show window type affected some store images. Semi-open type was perceived as more pleasurable image than enclosed type, whereas enclosed type was perceived as more luxurious, neat, and attractive image than semi-open type. However, show window type didn't affect purchasing intention. Third, subject' sex affected store image and purchasing intention. Male subjects perceived more positively on store image and had higher purchasing intention than females. This study suggested that facade color and show window type are important VM components affecting store image and purchasing intention.

• 제어로봇시스템학회:학술대회논문집
• /
• 1991.10a
• /
• pp.1175-1180
• /
• 1991

The purpose of this paper is to improve the matching accuracy in identifying corresponding points in the area-based matching for the processing of stereo vision. For the selection of window size, a new method is proposed based on frequency domain analysis. The effectiveness of the proposed method is confirmed through a series of experiments. To overcome disproportionate distortion in stereo image pair, a new matching method using the warped window is also proposed. In the algorithm, the window is warped according to imaging geometry. Experiments on a synthetic image show that the matching accuracy is improved by 14.1% and 4.2% over the rectangular window method and image warping method each.

• Proceedings of the Korean Society of Medical Physics Conference
• /
• 2002.09a
• /
• pp.461-463
• /
• 2002

Image quality and selection of optimized window for good quality reconstruction in coronary angiography using multi-detector row CT (MDCT) have not been studied by heart rate and its variation. Therefore, the effect of heart rate and its variation was systemically analyzed. Eighty-three patients were undergone contrast-enhanced coronary angiography using MDCT. In this study, sixty cases were enrolled. Two radiologists graded image quality as follows: 4, excellent; 3, good; 2, fair; l, bad. The starting points of the reconstruction window were chosen at seventy and forty percent of R wave interval. Optimized window was scored as 1 when 40% reconstruction was better quality than 70%, as 2 when 40% reconstruction is same as 70%, and as 3 when 70% reconstruction was better than 40%. Regression analysis was performed. The range of variation of beats per minute (BPM) was well correlated with image quality (r=-0.55, p=0.000), however correlation with optimized window percentage was not statistically significant (p=0.969). By contraries, median value of BPM was comparatively well correlated with optimized window grade (r=-0.24, p=0.086). Median value of BPM was not well correlated with image quality (r=0.l70, p=0.l97). Image quality is more affected by variation of heart rate (VHR) than by higher heart rate. Selection of optimized reconstruction window for good image quality is mainly affected by heart rate and there is a tendency that systolic phase reconstruction is better in image quality than diastolic reconstruction in higher heart rate.

• Journal of Broadcast Engineering
• /
• v.18 no.6
• /
• pp.795-807
• /
• 2013

In recent years, 2D-to-3D conversion techniques have gained much attraction. Most of conventional methods focused on natural images such as movie, animation and so forth. However, it is difficult to apply these techniques to window images mixed with text, image, logo, and icon. Also, different depth values of text pixels will cause distortion and a proper 3D image can not be delivered in some situations. To solve this problem, we propose a method to classify a given image into either a window or a natural image. For the window image, only rectangular image regions (RIR) are detected and converted in 3D. Other text and background are displayed in 2D. The proposed method was performed on more than 10,000 test images. In the experimental results, the detection ratio of window image reaches 97% and RIR detection ratio is 87%.

• Journal of Institute of Control, Robotics and Systems
• /
• v.16 no.11
• /
• pp.1089-1095
• /
• 2010

We propose an image segmentation method for auto-teaching system of PCB (Printed Circuit Board) assembly inspection machines. The inspection machine acquires images of all components in PCB, and then compares each image with its standard image to find the assembly errors such as misalignment, inverse polarity, and tombstone. The component window that is the area of component to be acquired by camera, is one of the teaching data for operating the inspection machines. To reduce the teaching time of the machine, we newly develop the image processing method to extract the component window automatically from the image of PCB. The proposed method segments the component window by excluding the soldering parts as well as board background. We binarize the input image by use of HSI color model because it is difficult to discriminate the RGB colors between components and backgrounds. The linear combination of the binarized images then enhances the component window from the background. By use of the horizontal and vertical projection of histogram, we finally obtain the component widow. The experimental results are presented to verify the usefulness of the proposed method.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.21 no.7
• /
• pp.1109-1116
• /
• 1997

This study was designed to investigate the image of show window displays. The specific objectives of the study are as follows; 1) Construct a semantic differential scale to evaluate the images of show window displays; 2) Identify the factor structure of the show window displays; 3) Cluster the brands according to the images of show window displays; 4) Examine how the images of show window displays differ according to the different brand clusters; and 5) Identify by brand clusters, how the different show window display images affect the purchasing desires. The following conclusions were made from this study; 1.25 pairs of adjectives for show window displays were found to include five factor dimensions (total variance 67.7%) such as evaluation, interest, hardness and softness, maturity, and modernity. 2. The brands were divided into six clusters according to the show window display images. 3. There were significant differences in the visual evaluation of the brand clusters in the show window display images. 4. There were significant differences in the show window display images that affect the Purchasing desires among the brand clusters.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2005.05a
• /
• pp.110-115
• /
• 2005

Show window display is a technique of arranging goods for sales promotion, namely, motivating and inducing customers to purchase products. It is not simply exhibiting articles but a technical expression of values retained in exhibited articles and an integrated visual art comprehending color, lighting effect, the customers' angle of vision, differentiation from neighboring stores, harmony with properties, assistive roles of relevant goods, and entire messages provided by these elements. Show window display plays the role of a medium that expresses brand images and attracts consumers. Through the medium, the company's brand image is recognized and the recognition determines the trend of brand sales. Brand images planted to consumers seldom change, and wrong recognition affects not only the brand image but also the company image. The present study purposed to suggest show window display employing brand images different from traditional show window display, to examine the effects of brand images on consumers' intention to purchase, and to propose display design.

• Journal of IKEEE
• /
• v.23 no.2
• /
• pp.395-402
• /
• 2019

In this paper, we implemented an Ultra-Wideband radar system using Stripmap Synthetic Apertrure Radar algorithm to recognize objects inside a box. Different window functions such as Hanning, Hamming, Kaiser, and Taylor functions to improve image recognition performance are applied and implemented to radar system. The Ultra-Wideband radar system with 3.1~4.8 GHz broadband and UWB antenna were implemented to recognize the conductor plate located inside 1m3 box. To obtain the image, we use the propagation data in the time domain according to the 1m movement distance and use the Range Doppler algorithm. The effect of different window functions to improve the recognition performance of the image are analyzed. From the compared results, we confirmed that the Kaiser window function can obtain a relatively good image.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.5
• /
• pp.601-607
• /
• 2018

Median filtering is a nonlinear method which is known to be effective in removing impulse noise while preserving local image structure relatively well. However, it could still suffer the smearing phenomena of edges and fine details into neighbors due to undesirable influence from the pixels whose values are far off from the true value of the pixel at hand. This drawback mainly comes from the fact that median filters typically employ a regular shape window for collecting the pixels used in the filtering operation. In this paper, we propose a median filtering method which employs an irregular shape filter window in collecting neighboring pixels around the pixel to be denoised. By employing an irregular shape window, we can achieve good noise suppression while preserving image details. Experimental results have shown that our approach is superior to regular window-based methods.