• Journal of Biosystems Engineering
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• v.39 no.3
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• pp.166-173
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• 2014

Purpose: In this study, we focused on the image processing method to determine the external quality of Fuji apples by identifying surface defects such as scabs and bruises. Method: A CCD camera was used to capture filter images with 24 different wavelengths ranging between 530 nm and 1050 nm. Image subtraction and division operations were performed to distinguish the defect area from the normal areas including calyx, stem, and glaring on the apple surface image. All threshold values of the image were examined to reveal the defect area of pretreated filter images. Results: The developed operation methods were [image (720 nm) - image (900 nm)]/image (700 nm) for bruise detection and [image (740 nm) - image (900 nm)]/image (590 nm) for scab detection, which revealed 81% and 90% recognition ratios, respectively. Conclusions: Our results showed several optimal wavelengths and image processing methods to detect Fuji apple surface defects such as bruises and scabs.

• The Research Journal of the Costume Culture
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• v.14 no.6
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• pp.1015-1026
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• 2006

The purpose of the study were to find out (1) the effect of motives on perceiver's image perception on ramie fabrics, and perceiver's trait, age and gender on sensory image evaluation of ramie fabrics. The research was a quasi experiment and experimental materials developed for the study were a set of material stimuli and semantic differential scales to measure sensory image of the stimuli, an aesthetic value scale. the independent design was motif design techniques(Plain Weave, burnt-out, embroidery, stripe, check). The subjects were 421 adults in Daejeon and Seachun. The results was as follows: The factor analysis of semantic differential scales for the ramie materials emerged 4 different image dimensions: attractiveness, hand, elegance, weight). The five design techniques showed significantly different image affects on some selective dimensions. The burn-out design gave the most attractive image, the embroidery design gave the softest image and plain weaved fabric presented the lightest hand image. Consumer's aesthetic values, gender and age tended to affect sensory image evaluation of ramie materials. On conclusion the result revealed that design strategy for the ramie material, design development though motives will be an essential process. and for material design pursued design image and target consumer's trait should be carefully considered.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.912-919
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• 2022

The study is an image-based assessment that uses image processing techniques to determine the condition of concrete with surface cracks. The preparations of the dataset include resizing and image filtering to ensure statistical homogeneity and noise reduction. The image dataset is then segmented, making it more suited for extracting important features and easier to evaluate. The image is transformed into grayscale which removes the hue and saturation but retains the luminance. To create a clean edge map, the edge detection process is utilized to extract the major edge features of the image. The Otsu method is used to minimize intraclass variation between black and white pixels. Additionally, the median filter was employed to reduce noise while keeping the borders of the image. Image processing techniques are used to enhance the significant features of the concrete image, especially the defects. In this study, the tonal zones of the histogram and its properties are used to analyze the condition of the concrete. By examining the histogram, the viewer will be able to determine the information on the image through the number of pixels associated and each tonal characteristic on a graph. The features of the five tonal zones of the histogram which implies the qualities of the concrete image may be evaluated based on the quality of the contrast, brightness, highlights, shadow spikes, or the condition of the shadow region that corresponds to the foreground.

• Journal of IKEEE
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• v.27 no.4
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• pp.561-566
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• 2023

With the development of deep learning, it is possible to solve various computer non-specialized problems such as image processing. However, most image processing methods use only the visual information of the image to process the image. Text data such as descriptions and annotations related to images may provide additional tactile and visual information that is difficult to obtain from the image itself. In this paper, we intend to improve image classification accuracy through a deep learning model that analyzes images and texts using image-text pairs. The proposed model showed an approximately 11% classification accuracy improvement over the deep learning model using only image information.

• Imaging Science in Dentistry
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• v.34 no.2
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• pp.63-67
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• 2004

Purpose: To make a focal trough (image layer) for an average maxillary dental arch of 6-year-old korean in panoramic radiography. Materials and Methods : Phantom for the maxillary dental arch was designed using intercanine width, intermolar width, tooth size, and interdental spacing to record the data of 6-year-old child. The characteristics of pre-corrected panoramic machine (for adult) was evaluated using the phantom, resolution test pattern for margin of the image layer, and metal ball for the center of the image layer. Panoramic image layer of the child was developed by means of decreasing the speed of film-cassette and positioning the phantom backwards, and then the characteristics of post-corrected panoramic machine (for child) were reevaluated. Results: At post-corrected panoramic image layer, beam projection angles at all interdental areas increased for about 2.6-3.8°, the position of the image layer was shifted toward the rotation center for about 2.5 mm at the deciduous central incisior area. The width of image layer decreased at all areas. Conclusion : Increased beam projection angle will reduce the disadvantage of tooth overlap, and the same form between the center of the image layer and dental arch will improve image resolution.

• Journal of information and communication convergence engineering
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• v.9 no.1
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• pp.83-88
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• 2011

Abstract. Image segmentation is always a challenging task in computer vision as well as in pattern recognition. Nowadays, this method has great importance in the field of stereo vision. The disparity information extracting from the binocular image pairs has essential relevance in the fields like Stereoscopic (3D) Imaging Systems, Virtual Reality and 3D Graphics. The term 'disparity' represents the horizontal shift between left camera image and right camera image. Till now, many methods are proposed to visualize or estimate the disparity. In this paper, we present a new technique to visualize the horizontal disparity between two stereo images based on image segmentation method. The process of comparing left camera image with right camera image is popularly known as 'Stereo-Matching'. This method is used in the field of stereo vision for many years and it has large contribution in generating depth and disparity maps. Correlation based stereo-matching are used most of the times to visualize the disparity. Although, for few stereo image pairs it is easy to estimate the horizontal disparity but in case of some other stereo images it becomes quite difficult to distinguish the disparity. Therefore, in order to visualize the horizontal disparity between any stereo image pairs in more robust way, a novel stereo-matching algorithm is proposed which is named as "Quadtree Segmentation of Pixels Disparity Estimation (QSPDE)".

• Archives of design research
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• v.14 no.3
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• pp.177-186
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• 2001

Modern times is called the age of image. It means that our society's importance is transferring from the commodity-centered industrial society to intangible culture-oriented society Therefore, it is becoming very important that what kind of image, concept and psychological factor act upon the space, things, incident and time (event) which is constituted around our environment. As regards this standpoint, from the early period, that advanced countries have been taking advantage of the national symbol image very positive way and function for domestic things and place and event and so on which make a standout for the nation's positive image and taken an effort for promoting a pride of their fellow countrymen through this. This study approaches the basic images of national symbol which includes the country's name, national anthem, national flag through the design principle which could express some certain above level of pattern and composition. I suggested various applicative motif based on basic expressions of each individual image and the applied sample goods of this idea, and through the introduction of the process of image development, and I tried to offer a moment of more prosperity and development at a later time. This is for encouraging fellow citizens to use national symbol in the free and positive way which make them to increase a national pride, and give a familiar image in the citizens'daily life. I intended to offer basic materials for promoting ourselves whenever we need it. And also by the offering information on our nation for foreigners which make them to have a favorable impression of our nation. I tried to promote a positive national image.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.6
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• pp.345-351
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• 2014

This paper presents pedestrian recognition to improve performance for vehicle safety system or surveillance system. Pedestrian detection method using HOG (Histograms of Oriented Gradients) has showed 90% recognition rate. But if someone takes a picture in the rain, the image may be distorted by rain streaks and recognition rate goes down by 62%. To solve this problem, we applied image decomposition method using MCA (Morphological Component Analysis). In this case, rain removal method improves recognition rate from 62% to 70%. However, it is difficult to apply conventional image decomposition method using MCA on vehicle safety system or surveillance system as conventional method is too slow for real-time system. To alleviate this issue, we propose a rain removal method by using low-pass filter and DCT (Discrete Cosine Transform). The DCT helps separate the image into rain components. The image is removed rain components by Butterworth filtering. Experimental results show that our method achieved 90% of recognition rate. In addition, the proposed method had accelerated processing time to 17.8ms which is acceptable for real-time system.

• Journal of Environmental Science International
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• v.24 no.11
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• pp.1451-1461
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• 2015

The purpose of this study is to describe how nature-based ecotourism motivation of ecotourists influences destination image and satisfaction of ecotourists. In order to achieve the above purposes, the study carried out a literature study and an empirical analysis. Based on the obtained data through the literature study, the study designed a model for the empirical study. The results of this study are as follows. First, returns to nature, knowledge. fitness and escape as ecotourism motivation of ecotourist had a positive effect on each ecotourism destination image, such as cognitive and affective image. However, effect of novelty on cognitive image for destination had not significant results. Second, ecotourism destination image, such as cognitive and affective image, had a positive effect on ecotourism satisfaction of ecotourists. The results of the article provide implications for strategies for promoting ecotourism destination and suggest some guidelines for the eco-education of tourists.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.318-327
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• 2005

The purpose of this study was to analyze the image perception of modern fashion according to erotic expressions ans erotic levels. The research methods werea quasi-experimental research. The experimental materials developed for the study were a set of stimuli and a responsse scale. The stimuli was consisted of 15 photographs according to erotic expressions and erotic levels. The reponse scale consisted of semantic differential scales. The subjects consisted of 254 male and 260 female undergraduate students of Chungnam National University by a convenient sampling method. The data were analyzed by factor analysis, ANOVA, Duncan's multiple range test and t-test. Result were as follows ; 1) The fashion image of erotic experessions and levels, were categorized into 3 images factors : sexy-potency, modesty, attractiveness. 2) The erotic expressions significantly affected on three image factors 3) The erotic levels showed significant differences in three image dimensions and stronger erotic levels pressented more sexy-potency, less models and attractive images. 4) The erotic expressions showed interaction effects with the erotic levels in three image dimensions. 5) Subject's gender had a significant difference on fashion image perception : male subjects perceived the fashion photographs more attractive than female subjects did.