• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 2008년도 추계학술대회
• /
• pp.255-257
• /
• 2008

본 논문에서는 최근 IT 기술의 발전에 따라 무수히 양산되고 있는 멀티미디어 데이터를 효율적으로 검색하기 위한 방법을 제안한다. 영상 검색 시스템에 사용되는 데이터베이스(DB) 영상들에 존재하는 각 객체들의 존재 영역을 기반으로 질의 영상 (query image)의 객체 영역을 추정해서 검색에 활용하는 것이다. 이는 질의 영상의 전체 영역으로부터 객체를 추정하는 것보다 데이터베이스 영상들로부터 추출한 통계적 객체 분포 범위를 기반으로 추정하기 때문에 빨리 객체 추출이 가능하도록 한다. 따라서 객체를 추출하기 위한 배경 지식이나, 사용자 입력이 전혀 필요 없다. 이렇게 추출된 객체 영역의 영상들로부터 GLCM 알고리즘을 이용해서 객체 영역의 특성이 잘 반영된 질감 특징 값을 바탕으로 검색에 활용 할 경우 원본 영상의 질감 특징을 활용한 경우보다, 객체의 질감 특징을 더 잘 반영한다는 것을 실험을 통해 확인할 수 있었다.

• 한국멀티미디어학회:학술대회논문집
• /
• 한국멀티미디어학회 2000년도 춘계학술발표논문집
• /
• pp.328-331
• /
• 2000

In this paper , we propose a texture feature extraction method of reduce the massive computational time on extracting texture, features of large sized medical such as MRI, CT-scan , and an index structure, called GLTFT, to speed up the retrieval performance. For these, the original image is transformed into a compressed image by Wavelet transform , and textural features such as contrast, energy, entropy, and homogeneity of the compressed image is extracted by using GLCM(Gray Level Co-occurrence Metrix) . The proposed index structure is organized by using the textural features. The processing in compressed domain can give the solution of storage space and the reduction of computational time of feature extracting . And , by GLTFT index structure, image retrieval performance can be expected to be improved by reducing the retrieval range . Our experiment on 270 MRIs as image database shows that shows that such expectation can be got.

• 대한의용생체공학회:학술대회논문집
• /
• 대한의용생체공학회 1990년도 추계학술대회
• /
• pp.25-28
• /
• 1990

We tested the ability of two-dimensional echocardiograms of complete heart cycle in closed-chest human to discriminate between normal and infarcted myocardium using fixed window, Inter- and Intra-frame analysis. The results show that statistical parameter, MEAN, second order gray level statistics parameter, ASM and proposed parameter, HGE, I.T, can quantitatively distinguish between normal and Infarcted regions. The manner in which these parameters vary over the cardiac cycle is also a good indicator of the state of myocardium. The infarcted areas yield regions of higher Intensity throughout the cardiac cycle. Whereas, normal tissue demonstrates greater variability throughout the cardiac cycle.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권4호
• /
• pp.2109-2123
• /
• 2017

This paper presents a super-resolution reconstruction method based on sparse representation for two-dimensional bar code images. Considering the features of two-dimensional bar code images, Kirsch and LBP (local binary pattern) operators are used to extract the edge gradient and texture features. Feature extraction is constituted based on these two features and additional two second-order derivatives. By joint dictionary learning of the low-resolution and high-resolution image patch pairs, the sparse representation of corresponding patches is the same. In addition, the global constraint is exerted on the initial estimation of high-resolution image which makes the reconstructed result closer to the real one. The experimental results demonstrate the effectiveness of the proposed algorithm for two-dimensional bar code images by comparing with other reconstruction algorithms.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
• /
• pp.247-249
• /
• 2007

Crown parameters are important roles in tree species identification, because the canopy is the aggregate of all the crowns. However, crown measurements with spaceborne image data have remained more difficult than on aerial photographs since trees show more structural detail at higher resolutions. This recognized problem led to the initiation of the research to determine if high resolution satellite image data could be used to identify and classify single tree species. In this paper, shape parameters derived from pixel-based crown area measurements and texture features derived from GLCM parameters in QuickBird image were tested and compared for individual tree species identification. As expected, initial studies have shown that the crown parameters and the canopy texture parameters provided a differentiating method between coniferous trees and broad-leaved trees within the compartment(less than forest stand) for single extraction from spaceborne high resolution image.

• 전자공학회논문지B
• /
• 제31B권12호
• /
• pp.51-58
• /
• 1994

Mathematical morphology based on set theory is easy to be implemented in parallel and can be applied to various fields in image analysis. Particularly mophological pattern spectrum can detect critical scales in an image object and quantify various aspects of the shape-size content. In this paper, texture classification using pattern spectrum based on morphological subband decomposition is porposed. The low-low band extracts pattern spectrum features, and the high-low, low-high, and high-high bands extrack the structural information. This approach has the advantages of efficient information extraction, less time-consuming, high accuacy, less computation, and parallel implementation.

• 한국광학회지
• /
• 제16권3호
• /
• pp.275-286
• /
• 2005

InGaN LED에서 칩 구조 및 칩마운트 구조에 따른 광추출효율의 변화를 Monte Calo 기법을 이용하여 해석하였다. Simulation을 통해 얻은 중요한 결론의 하나는, InGaAlP 또는 InGaN/SiC LED의 경우에서는 달리, InGaN/sapphire LED의 경우 칩의 측 벽면 기울임 기법의 광추출효율 개선효과가 상대적으로 미미하다는 점이다. InGaN/SiC LED의 경우와는 달리, 기판으로 사용되는 sapphire의 굴절률이 상대적으로 작아서 생성된 광자들이 기판으로 넘어가는데 전반사장벽을 만나게 되어, 많은 광자들이 기판으로 넘어가지 못하고 두께가 매우 얇은 반도체 결정층에 갇히는 현상 때문이다. 동일한 현상은 epi-down 구조의 칩 마운트에서 광추출효율이 크게 개선되지 못하는 원인으로도 작용하게 된다. 광추출효율 관점에서의 epi-down 구조의 InGaN/sapphire LED가 갖고 있는 잠재력을 살리기 위한 방법의 하나는 기판-에피택시 계면을 texturing 하는 것이라고 할 수 있는데, 이 경우 생성된 광자들이 다량기판으로 넘어갈 수 있게 되어 광추출효율이 현저하게 개선된다.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
• /
• pp.245-245
• /
• 2005

This paper addresses the use of directional textural information for connecting road segments. In urban scene, some roads are occluded by buildings, casting shadow of buildings, trees, and cars on streets. Automatic extraction of road network from remotely sensed high resolution imagery is generally hindered by them. The results of automatic road network extraction will be incomplete. To overcome this problem, several perceptual grouping algorithms are often used based on similarity, proximity, continuation, and symmetry. Roads have directions and are connected to adjacent roads with certain angles. The directional information is used to guide road fragments connection based on roads directional inertia or characteristics of road junctions. In the primitive stage, roads are extracted with textural and direction information automatically with certain length of linearity. The primitive road fragments are connected based on the directional information to improve the road network. Experimental results show some contribution of this approach for completing road network, specifically in urban area.

• 한국산업융합학회 논문집
• /
• 제23권3호
• /
• pp.515-521
• /
• 2020

Deep learning methods have been effectively used to provide great improvement in various research fields such as machine learning, image processing and computer vision. One of the most frequently used deep learning methods in image processing is the convolutional neural networks. Compared to the traditional artificial neural networks, convolutional neural networks do not use the predefined kernels, but instead they learn data specific kernels. This property makes them to be used as feature extractors as well. In this study, we compared the quality of CNN features for traditional texture feature extraction methods. Experimental results demonstrate the superiority of the CNN features. Additionally, the recognition process and result of a pioneering CNN on MNIST database are presented.

• 한국식품영양과학회지
• /
• 제30권3호
• /
• pp.488-493
• /
• 2001

The know the possibility in development of the low-fat beef patty models using crucian carp9 extraction residues (CCER, freeze dried powder : 5%, 10%, 15%), those protein nutritional quality, texture, color and sensory properties were investigated. About 13∼23% (on dry basis) of lipid in control was reduced in cooked beef patties with the higher addition ratios of CCER. In vitro protein digestibility was not changed in raw patties before cooking but 2∼4% higher digestibility was revealed in cooked patties. Computed protein efficiency ratio (C-PER) and discriminant computed protein efficiency ratio (DC-PER) of beef patties containing CCER were almost same as control. Lightness and red color value of both (raw and cooked) beef patties were decreased with the higher CCER addition ratios but brown color value of cooked samples were similar to control. Stronger hardness was noted in all beef patties containing CCER significantly (p<0.05). Consumer's acceptability were generally decreased by addition of CCER, but 10% level could be recommendable in beef patty processing.