• Journal of the Korean Geographical Society
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• v.41 no.2 s.113
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• pp.139-149
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• 2006

Earlier research works focused on the seasonal patterns and bio-geochemical processes in sand dunes, and the satellite data and aerial photographs have been used only as a backdrop or for the multi-temporal delineation of sand dune area. In order to find the optimal way to extract features' characteristics, Gimnyeong sand dune area was selected as a study site. Field works have been carried out three times to collect ground control points and sand samples for laboratory analyses. The texture of sand dune is classified as fine sand, which has been derived from shell fragments. The sand dune penetrated into the island from northwest to southeast direction. An aerial photograph was re-sampled into one-meter resolution and rectified with software including Erdas Imagine and ENVI. Sub-scenes were chosen as samples for sand dune, urban area and rural area. K-group non-parametric analysis had been done for the geometric and spectral values of enclosed texture patches. Urban areas proved to have significant smaller patches than the others.

• Journal of the Korean Society of Costume
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• v.55 no.7 s.98
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• pp.76-88
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• 2005

The aim of this study is to define the concept of the matchless, and its social and cultural origins. I shall also define the different types of Matchless style, the respective characteristics of each style, and the distinguishing features of this style in domestic street fashion. In order to do this, 1 have referred to several published studies and a number of Web-sites of Korean fashion information companies for my research. The results of this study are the following; 1. The concept of matchless is a positive way of self-expression by coordination, created by consumers who attach great importance to their image and to developing their individual style. Also, this concept constitutes a new approach to code which reanalyzes existing styles with a new sensitivity. 2. The social & cultural origins of matchless are the expansion of fear of war and terror, and economic depression, the extension of the 5-day workweek, interest in 'Well-being', and the phenomena of cultural diversity. 3. The types of Matchless are Style Matchless, Theme Matchless, Texture Matchless, Season Matchless, and Complex-Layered Matchless. 4. The distinguishing features of Matchless in street fashion are the distinction of formal & Casual wear's Matchless, the creation of a new Look in Sports & Casual wear's Matchless, the development of a new coordinated, layered look, the immense popularity of Denim, the new fashionable versions of Military style, and the renaissance of the Romantic Feminine Look.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.8
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• pp.1272-1277
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• 2017

To assist radiologists for the characterization of breast masses, Computer-aided Diagnosis(CADx) system has been studied. The CADx system can improve the diagnostic accuracy of radiologists by providing objective information about breast masses. Morphological and texture features were extracted from the breast ultrasound images. Based on extracted features, the CADx system retrieves masses that are similar to a query mass from a reference library using a k-nearest neighbor (k-NN) approach. Eight similarity measures of distance, Euclidean, Chebyshev(Minkowski family), Canberra, Lorentzian($F_2$ family), Wave Hedges, Motyka(Intersection family), and Cosine, Dice(Inner Product family) are evaluated by ROC(Receiver Operating Characteristic) analysis. The Inner Product family measure used with the k-NN classifier provided slightly higher performance for classification of malignant and benign masses than those with the Minkowski, $F_2$, and Intersection family measures.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.1
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• pp.113-121
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• 2010

Recently, there has been a great deal of public interest in health foods, such as turmeric (Curcuma longa L). In this study, the baking features of turmeric powder were evaluated by making pan bread. To accomplish this, the effects of added turmeric powder on the results of mixograph analysis as well as, the pH and, fermentation rate were measured. In addition, the features of the bread were examined by testing the stickiness of the dough and the TPA of the product using a texture analyzer. Finally, the consumer's preferences were investigated by evaluation of the color difference, crumbScan and sensory evaluation. The results revealed that as the level of turmeric powder increased, the pH decreased. which resulted in the gas possessing capacity of the dough improving and the fermentation persistence of the dough increasing. In addition, the stickiness increased as the turmeric powder content increased. However, there were significant differences among breads produced using different amounts of turmeric powder. Evaluation of the taste revealed that the TP3 group had the higher score than control score and TP7 had the lowest score. In overall preference, TP7 was especially low and the preference decreased as the content of turmeric powder increased.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.3_1spc
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• pp.496-503
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• 2013

Recently, the death rate owing to breast cancers has been increasing, and the occurrence age for breast cancers is lowering every year. Mammography is known to be a reliable detection method for breast cancers and works by detecting texture changes, calcifications, and other potential symptoms. In this research on breast cancer detection, candidate objects were detected by using image processing on mammograms, and feature analysis was used to classify candidate objects as benign tumors and malignant tumors. To find candidate objects, image pre-processing and binarization using multiple thresholds, and the grouping of micro-calcifications were used. More than 50 shape features and intensity features were used in the classification. The performance of the detection algorithm by using Euclidian distance method for benign tumors was 93%, and the classification error rate was approximately 2%.

• The Korean Journal of Cytopathology
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• v.18 no.2
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• pp.133-142
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• 2007

Cytologic diagnosis of the metastatic tumors to the thyroid is important in the management of the patients. There have been rare reports analyzing fine-needle aspiration (FNA) cytology of metastatic tumors to the thyroid. This study examines comprehensive cytologic findings of metastatic tumors to the thyroid with radiologic findings. The FNA cytology slides obtained from 12 cases with metastatic tumors of the thyroid; lung cancer (n=5), tongue and tonsil cancer (n=3), esophageal cancer (n=2), and breast cancer (n=2) were reviewed. Radiological study showed single mass with heterogeneous texture or multiple masses without calcification. Metastatic tumor was easily considered in a differential diagnosis of FNA cytology because they had peculiar cytological features which were not seen in primary thyroid tumor. The smear background varied from predominantly necrotic, bloody, and inflammatory to colloid. The aspirates exhibited a mixture of benign follicular cells and malignant cells in 6 cases. The characteristic cytoplasmic features of the tumor cells, such as keratin, mucin and melanin, were found in 9 cases. Although some cases mimic primary thyroid neoplasm, a careful examination of the cytological characteristics may help cytopathologists to recognize a metastatic tumor in the thyroid by FNA, and may help the clinicians to establish a proper treatment plan.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.358-366
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• 2012

Cirrhosis is a consequence of chronic liver disease characterized by replacement of liver tissue by fibrosis, scar tissue and regenerative nodules leading to loss of liver function. Liver Cirrhosis is most commonly caused by alcoholism, hepatitis B and C, and fatty liver disease, but has many other possible causes. Some cases are idiopathic disease from unknown cause. Abdomen of liver Computed tomography(CT) is one of the primary imaging procedures for evaluating liver disease such as liver cirrhosis, Alcoholic liver disease(ALD), cancer, and interval changes because it is economical and easy to use. The purpose of this study is to detect technique for computer-aided diagnosis(CAD) to identify liver cirrhosis in abdomen CT. We experimented on the principal components analysis(PCA) algorithm in the other method and suggested texture information analysis(TIA). Forty clinical cases involving a total of 634 CT sectional images were used in this study. Liver cirrhosis was detected by PCA method(detection rate of 35%), and by TIA methods(detection rate of 100%-AGI, TM, MU, EN). Our present results show that our method can be regarded as a technique for CAD systems to detect liver cirrhosis in CT liver images.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.445-458
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• 2012

Image feature extraction is one of the basic works for biometric analysis. This paper presents the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms are the combination of Radon transforms and Wavelet transforms. They are suitable for extracting the abundantly present textural data that is in an iris. The technique proposed here uses the ridgelets to form an iris signature and to represent the iris. This paper contributes towards creating an improved iris recognition system. There is a reduction in the feature vector size, which is 1X4 in size. The False Acceptance Rate (FAR) and False Rejection Rate (FRR) were also reduced and the accuracy increased. The proposed method also avoids the iris normalization process that is traditionally used in iris recognition systems. Experimental results indicate that the proposed method achieves an accuracy of 99.82%, 0.1309% FAR, and 0.0434% FRR.

• Ocean Systems Engineering
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• v.6 no.3
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• pp.217-231
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• 2016

This paper presents a new approach for underwater image analysis using the bi-dimensional empirical mode decomposition (BEMD) technique and the phase congruency information. The BEMD algorithm, fully unsupervised, it is mainly applied to texture extraction and image filtering, which are widely recognized as a difficult and challenging machine vision problem. The phase information is the very stability feature of image. Recent developments in analysis methods on the phase congruency information have received large attention by the image researchers. In this paper, the proposed method is called the EP model that inherits the advantages of the first two algorithms, so this model is suitable for processing underwater image. Moreover, the receiver operating characteristic (ROC) curve is presented in this paper to solve the problem that the threshold is greatly affected by personal experience when underwater image edge detection is performed using the EP model. The EP images are computed using combinations of the Canny detector parameters, and the binaryzation image results are generated accordingly. The ideal EP edge feature extractive maps are estimated using correspondence threshold which is optimized by ROC analysis. The experimental results show that the proposed algorithm is able to avoid the operation error caused by manual setting of the detection threshold, and to adaptively set the image feature detection threshold. The proposed method has been proved to be accuracy and effectiveness by the underwater image processing examples.

• Korean Journal of Radiology
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• v.24 no.12
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• pp.1190-1199
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• 2023

Objective: This study aimed to investigate the feasibility of ultrafast magnetic resonance imaging (MRI) and radiomic features derived from breast MRI for predicting the upstaging of ductal carcinoma in situ (DCIS) diagnosed using percutaneous needle biopsy. Materials and Methods: Between August 2018 and June 2020, 95 patients with 98 DCIS lesions who underwent preoperative breast MRI, including an ultrafast sequence, and subsequent surgery were included. Four ultrafast MRI parameters were analyzed: time-to-enhancement, maximum slope (MS), area under the curve for 60 s after enhancement, and time-to-peak enhancement. One hundred and seven radiomic features were extracted for the whole tumor on the first post-contrast T1WI and T2WI using PyRadiomics. Clinicopathological characteristics, ultrafast MRI findings, and radiomic features were compared between the pure DCIS and DCIS with invasion groups. Prediction models, incorporating clinicopathological, ultrafast MRI, and radiomic features, were developed. Receiver operating characteristic curve analysis and area under the curve (AUC) were used to evaluate model performance in distinguishing between the two groups using leave-one-out cross-validation. Results: Thirty-six of the 98 lesions (36.7%) were confirmed to have invasive components after surgery. Compared to the pure DCIS group, the DCIS with invasion group had a higher nuclear grade (P < 0.001), larger mean lesion size (P = 0.038), larger mean MS (P = 0.002), and different radiomic-related characteristics, including a more extensive tumor volume; higher maximum gray-level intensity; coarser, more complex, and heterogeneous texture; and a greater concentration of high gray-level intensity. No significant differences in AUCs were found between the model incorporating nuclear grade and lesion size (0.687) and the models integrating additional ultrafast MRI and radiomic features (0.680-0.732). Conclusion: High nuclear grade, larger lesion size, larger MS, and multiple radiomic features were associated with DCIS upstaging. However, the addition of MS and radiomic features to the prediction model did not significantly improve the prediction performance.