• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.26-36
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• 2012

Since shape of an object in an image carries important information in contents based image retrieval (CBIR), many shape description methods have been proposed to retrieve images using shape information. Among the existing shape based image retrieval methods, the method which employs invariant Zernike moment desciptor (IZMD) showed better performance compared to other methods which employ traditional Zernike moments descriptor in CBIR. In this paper, we propose a new image retrieval method which applies invariant angular radial transform descriptor (IARTD) to obtain higher performance than the method which employs IZMD in CBIR. IARTD is a rotationally invariant feature which consists of magnitudes and alligned phases of angular radial transform coefficients. To produce rotationally invariant phase coefficients, a phase correction scheme is performed while extracting the IARTD. The distance between two IARTDs is defined by combining the differences of the magnitudes and the aligned phases. Through the experiment using MPEG-7 shape dataset, the average bull's eye performance (BEP) of the proposed method is 0.5806 while the average BEPs of the exsiting methods which employ IZMD and traditional ART are 0.4234 and 0.3574, respectively.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.5
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• pp.959-968
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• 2019

In the agricultural industry, wireless sensor network technology has being applied by utilizing various sensors and embedded systems. In particular, a lot of researches are being conducted to diagnose diseases of crops early by using sensor network. There are some difficulties on traditional research how to diagnose crop diseases is not practical for agriculture. This paper proposes the algorithm which enables to investigate and analyze the crop leaf image taken by image camera and detect the infected area within the image. We applied the enhanced k-means clustering method to the images captured at horticulture facility and categorized the areas in the image. Then we used the edge detection and edge tracking scheme to decide whether the extracted areas are located in inside of leaf or not. The performance was evaluated using the images capturing tomato leaves. The results of performance evaluation shows that the proposed algorithm outperforms the traditional algorithms in terms of classification capability.

• Fashion & Textile Research Journal
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• v.7 no.2
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• pp.169-178
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• 2005

This study was aimed at investigating the relationship between the sensibility image of Dangcho pattern and the pattern composition variables(representation type, pattern arrangement, object of application, desire of purchase, ages). The results obtained are as follows: The sensibility image which is derived from Dangcho pattern was investigated in the property of five dimensions, that is, the property of fascination, elegance, high grade, uniqueness, and correctness. The sensibility image of Dangcho pattern was the significant main effect according to pattern composition variables(representation type, pattern arrangement, object of application, desire of purchase, ages), and was the significant collation effect between each of pattern composition variables. The sensibility image of the Dangcho pattern which had most an influence on degree of preference and desire of purchase was examined by the property of fascination.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.6
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• pp.675-683
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• 2001

In this paper, we propose the edge compensation algorithm which connects the adjacent edges without losing the information of the skeletons on the edge image. The proposed edge compensation algorithm is composed of succeeding two steps. In the first step, the uplifted image is obtained by uplifting the edge image repeatedly. The next step is to extract the edge image from the uplifted image using the skeleton extraction algorithm. Experimental results show that the proposed method connects the adjacent edges without the distortion of the original edge information compared to the traditional method.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.1
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• pp.55-65
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• 2020

With the development of display hardware, image interpolation techniques have been used in various fields such as image zooming and medical imaging. Traditional image interpolation methods, such as bi-linear interpolation, bi-cubic interpolation and edge direction-based interpolation, perform interpolation in the spatial domain. Recently, interpolation techniques in the discrete cosine transform or wavelet domain are also proposed. Using these various existing interpolation methods and machine learning, we propose decision tree classification-based image interpolation methods. In other words, this paper is about the method of adaptively applying various existing interpolation methods, not the interpolation method itself. To obtain the decision model, we used Weka's J48 library with the C4.5 decision tree algorithm. The proposed method first constructs attribute set and select classes that means interpolation methods for classification model. And after training, interpolation is performed using different interpolation methods according to attributes characteristics. Simulation results show that the proposed method yields reasonable performance.

• Journal of Information Processing Systems
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• v.11 no.4
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• pp.495-508
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• 2015

In this paper, a novel robust medical images watermarking scheme is proposed. In traditional methods, the added watermark may alter the host medical image in an irreversible manner and may mask subtle details. Consequently, we propose a method for medical image copyright protection that may remedy this problem by embedding the watermark without modifying the original host image. The proposed method is based on the visual cryptography concept and the dominant blocks of wavelet coefficients. The logic in using the blocks dominants map is that local features, such as contours or edges, are unique to each image. The experimental results show that the proposed method can withstand several image processing attacks such as cropping, filtering, compression, etc.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.204-206
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• 2003

In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But, the accuracy of traditional methods based on pixel-based classification is not high in general. In this study, object oriented classification based on image segmentation is used to classify Landsat images. A necessary prerequisite for object oriented image classification is successful image segmentation. Object oriented image classification, which is based on fuzzy logic, allows the integration of a broad spectrum of different object features, such as spectral values , shape and texture. Landsat images are divided into urban, agriculture, forest, grassland, wetland, barren and water in sochon-gun, Chungcheongnam-do using object oriented classification algorithms in this paper. Preliminary results will help to perform an automatic image classification in the future.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.57-68
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• 2023

Because salt and pepper noise is a type of impulse, even a small amount of noise could cause a large image degradation. In this paper, we proposed a salt-and-pepper noise removal method using the convolutional neural network. It consists of four phases. In the first step, the proposed method reconstructs noisy image using a traditional salt-and-pepper noise reduction method, and in the second step, the result image of previous step is filtered with Gaussian low pass filter. After that, we reconstruct the filtered image using convolution neural network. In the last step, the pixels with salt-and-pepper noise are replaced with the result of previous phase. Simulation results show that the proposed method yields not only objective image qualities(PSNR, SSIM) but also subjective image qualities for all SAP noise ratios.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.3
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• pp.167-185
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• 2013

Among korean traditional culture, TalChum(mask dance) which bears our unique cultural emotion, is about wearing a Tal(korean mask) and dancing, which express our ethnic feeling. The ethnic feeling was expressed into silhouette of hotel uniform which sightseers at home and abroad most frequently visit. This would be the best and the fastest way to show and deliver ethinic feeling of Korea. Fashion design of an uniform would be the best way to express group's unification and attachment. The purpose of this study was to design uniforms, in order to satisfy the property of function, aesthetic points, symbolism to inhere and to differentiate the group from others by using plastic and creative design. This study was meant to induce people to get near to characteristic of Korean culture, using hotel uniform design. Mask's plastic beauty of characteristic Chosun dynasty and express vividly Tal's image with Korean traditional reality was applied on hotel uniform design. By doing so, visitors can come back to the hotel with longtime memory of Korea. The characteristics and the humorous symbolism of Tal were designed and applied to uniform design on collar, bodice, pocket, and sleeves.

• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.2
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• pp.43-53
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• 2009

The purpose of this study is to show inherent and differentiated beauty by designing costume knitwear using Dancho patterns representing peculiar beauty, thus expressing free and convenient knitwear in the modern sense for women with the image of reasonableness and elegance, proposing knit design using high-class materials for satisfying the demand for the highest. With regard to expression technique of works, I selected computer Jacquard method to indicate effective comparison effect of expression material and made expression with $12{\sim}14$ gauge as base by using computer knitting machine. Through above-mentioned research process and design using Knit CAD system, I obtained following conclusion. First, it is possible to express variously and widely traditional patterns by making the most of the beauty of the orient and by recomposing the patterns of plant patterns representing "feminine image". Second, it is possible to widely represent the sense you can feel from knit by expressing variously diversity of knit structure and Jacquard knitting structure and gauge. Finally, it is possible to express designs more freely and imaginably by using computer Knit CAD system instead of actual knitting of various knit expression technique and materials application.