• Proceedings of the IEEK Conference
• /
• 2002.06d
• /
• pp.223-226
• /
• 2002

영상 검색을 위한 기존의 칼라 히스토그램 방법은 영상의 형상 정보를 포함하고 있지 않다. 본 논문에서는 로컬 형상 정보인 에지 정보에 칼라 정보를 접목시켰다. 각각의 세 종류의 에지(수평 에지, 수직 에지, 비 방향성 에지) 주위의 픽셀들에 대한 칼라 분포를 구한 후 그 각각의 칼라 분포를 기초로 구한 두 영상간의 거리 정보를 이용하여 영상들간의 유사도를 구했다. 따라서 본 논문에서 제안한 유사도는 한 종류의 에지 타입 (비 방향성 에지)을 이용한 방법에 비해 매칭 오류를 줄일 수 있었다. 실험 결과, 제안된 방법이 기존의 칼라 히스토그램과 에지 히스토그램을 이용한 방법에 비해 향상된 성능을 보였다.

• Proceedings of the IEEK Conference
• /
• 2007.07a
• /
• pp.267-268
• /
• 2007

A dynamic range compression algorithm using Markov random field (MRF) modeling to display high dynamic range (HDR) images on low dynamic range (LDR) devices is proposed in this work. The proposed algorithm separates foreground objects from the background using the edge information, and then compresses the color differences across the edges based on the MRF modeling. By minimizing a cost function using belief propagation, the proposed algorithm can provide an effective LDR image. Simulation results show that the proposed algorithm provides good results.

• Journal of the Korean Graphic Arts Communication Society
• /
• v.9 no.1
• /
• pp.45-51
• /
• 1991

Commercially available paper stickers, electrostatic stickers, and metal sticker generally involve process of printing on the substrate and die-cutting to peel the sticker off the release paper. Using plastisol ink and multi-layer screen printing technique, a process of non die-cutting sticker with same image on both sides was developed. It was also possible to prevent color mixing phenomena at image edge part by printing narrow lines of black ink along the borderline.

• Journal of Broadcast Engineering
• /
• v.17 no.2
• /
• pp.316-324
• /
• 2012

In this paper, a novel descreening method using HOG(histogram of gradient)-based adaptive smoothing filter is proposed. Conventional edge-oriented smoothing methods does not provide enough smoothing to the halftone image due to the edge-like characteristic of the halftone noise. Moreover, clustered-dot halftoning method, which is commonly used in printing tends to create Moire pattern because of the intereference in color channels. Therefore, the proposed method uses HOG to distinguish edges and the amount of smoothing to be performed on the halftone image is then calculated according to the magnitude of the HOG in the edge and edge normal orientation. The proposed method was tested on various scanned halftone materials, and the results show that it effectively removes halftone noises as well as Moire pattern while preserving image details.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.24 no.4
• /
• pp.327-334
• /
• 2006

The aerial photos need in a simple object such as cartography and ground cover classification and also in a social objects such as the city plan, environment, disaster, transportation etc. However, the shadow, which includes when taking the aerial photos, makes a trouble to interpret the ground information, and also users, who need the photos in their field tasks, have a restriction. Generally the shadow occurs by the building and surface topography, and the detail cause is by changing of the illumination in an area. For removing the shadow this study uses the single image and processes the image without the source of image and taking situation. Also, applying the entropy minimization method it generates the 1-D gray-scale invariant image for creating the shadow edge mask and using the Canny edge detection creates the shadow edge mask, and finally by filtering in Fourier frequency domain creates the intrinsic image which recovers the 3-D color information and removes the shadow.

• Journal of the Korean Institute of Traditional Landscape Architecture
• /
• v.28 no.1
• /
• pp.102-112
• /
• 2010

By understanding physiological characters of plants and the environment, plant design should decide the relationship with other plants from the designer's curiosity of the plant's color, texture, form and other aspects. There are a traditional tendency that many designers put the plant's color ahead of other aspects. This study explores 4 gardens of Gertrude Jekyll's Munstead Wood, Vita Sackvill-West's Sissinghurst, Christopher Lloyd's Grest Dixter and Lawrence Johnston's Hidcote Manner. The flower border of Munstead is started with light grey and blue at the edge and it gets stronger colors like red and orange as the line comes to the middle. It is noticeable that white an blue colors were used unlike before. Sissinghurst made use of purple color which was very seldom used before and Dixter added orange to magenta color that was already there, giving a strong visual effect and through juxtaposition it could realize the wanted effect. A strong red border line was created in Hidcote Manner. Above mentioned designers arranged various colors so that visitors can experience different spacial senses according to observer's direction. In the cognitive space the main color and the secondary color arranged leading to the fact that the observer recognizes it as a whole. In plant design time means seasonal performance which influences the main color arrangement like gradation or contrast. Moreover, space determines the color's zone when it comes to plant design.

• Journal of Digital Contents Society
• /
• v.8 no.3
• /
• pp.329-339
• /
• 2007

In this paper we present a facial region detection algorithm for real-time image with complex background and various illumination using spatial and temporal methods. For Detecting Human region It used summation of Edge-Difference Image between continuous image sequences. Then, Detected facial candidate region is vertically divided two objected. Non facial region is reduced using Analysis of Major Color Component. Non facial region has not available Major Color Component. And then, Background is reduced using boundary information. Finally, The Facial region is detected through horizontal, vertical projection of Images. The experiments show that the proposed algorithm can detect robustly facial region with complex background various illumination images.

• Proceedings of the IEEK Conference
• /
• 2005.11a
• /
• pp.979-982
• /
• 2005

This paper is to be pre-processing that decides the text recognizability and quality contained in natural image. Differentiated with the existing studies, In this paper, it suggests the application of partially unified color models, Coiflet Wavelet and text extraction algorithm that uses the closed curve edge features of LoG (laplacian of gaussian)operator. The text image included in natural image such as signboard has the same hue, saturation and value, and there is a certain thickness as for their feature. Each color element is restructured into closed area by LoG operator, the 2nd differential operator. The text area is contracted by Hough Transform, logical AND-OR operator of each color model and Minimum-Distance classifier. This paper targets natural image into which text area is added regardless of the size and resolution of the image, and it is confirmed to have more excellent performance than other algorithms with many restrictions.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.24 no.2
• /
• pp.214-224
• /
• 2016

This paper proposes an algorithm to effectively detect the traffic lights and recognize the traffic signals using a monocular camera mounted on the front windshield glass of a vehicle in day time. The algorithm consists of three main parts. The first part is to generate the candidates of a traffic light. After conversion of RGB color model into HSI and YCbCr color spaces, the regions considered as a traffic light are detected. For these regions, edge processing is applied to extract the borders of the traffic light. The second part is to divide the candidates into traffic lights and non-traffic lights using Haar-like features and Adaboost algorithm. The third part is to recognize the signals of the traffic light using a template matching. Experimental results show that the proposed algorithm successfully detects the traffic lights and recognizes the traffic signals in real time in a variety of environments.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.5 no.6
• /
• pp.1157-1162
• /
• 2001

This paper deals with inspect algorithm using visual system. One of the major problems that arise during polymer production is the estimation of the noise of the color product.(bad pallets) An erroneous output can cause a lot of losses (production and financial losses). Therefore new methods for real-time inspection of the noise are demanded. For this reason, we have presented a development of vision system algorithm for the defect inspection of PE color pallets. First of all, in order to detect the edge of object, the differential filter is used. And we apply to the labelling algorithm for feature extraction. This algorithm is designed for the defect inspection of pallets. The labelling algorithm permits to separate all of the connected components appearing on the pallets. Labelling the connected regions of a image is a fundamental computation in image analysis and machine vision, with a large number of application. Also, we suggested vision processing program in window environment. Simulations and experimental results demonstrate the performance of the proposal algorithm.