• Title/Summary/Keyword: Slant image

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Text Extraction Algorithm in Complex Images using Adaptive Edge detection (복잡한 영상에서 적응적 에지검출을 이용한 텍스트 추출 알고리즘 연구)

  • Shin, Seong;Kim, Sung-Dong;Baek, Young-Hyun;Moon, Sung-Ryong
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.251-252
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    • 2007
  • The thesis proposed the Text Extraction Algorithm which is a text extraction algorithm which uses the Coiflet Wavelet, YCbCr Color model and the close curve edge feature of adaptive LoG Operator in order to complement the demerit of the existing research which is weak in complexity of background, variety of light and disordered line and similarity of text and background color. This thesis is simulated with natural images which include naturally text area regardless of size, resolution and slant and so on of image. And the proposed algorithm is confirmed to an excellent by compared with an existing extraction algorithm in same image.

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Analysis on Image Types and Design Element Qualities of Contemporary Black Make-up (블랙 컬러를 활용한 메이크업의 이미지 유형별 디자인 요소 특징)

  • Kim, Seol-Lee;O, In-Young
    • The Research Journal of the Costume Culture
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    • v.17 no.4
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    • pp.561-574
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    • 2009
  • Black has been the most important color of all since the ancient times when the recognition of black roused, as well as during most of the eras; and can especially be said as the main color which controlled the chronicles of fashion. The purpose of the study was to broaden the application of black color image make-up by inquiring into make-up design elemental characteristics of lines and textures, after classifying magazine illustrations and advertisement make-up images using black. The photos which made effective use of black among fashion illustrations, magazine advertisements after 2001 were classified in to each type, and make-up expression method and characteristics according to design element of each image type was analyzed. The conclusion of such study was the following. 'Erotic image' showed contrast effect between eye make-up and lip color by using pale tone or red color. 'Mannish image' emphasized form and texture of eyebrow by restraining the colors of eyelids with natural brown tone eye make-up; 'Modern image' expressed vague eyebrow to bring the sensation of the direction of eye shadow on eyelids and eye line as well as slant line to relief. 'Kitsch image' showed free and light imagery by creating unique hair style with various colors; expressing lips mostly with colors similar to skin tone or by restraining colors on lips. 'Decadence image' showed messy and foul sensation with unstandardized eye make-up and matt skin of shimmer, glossy and pale tone, also with black colored lips; 'Retro image' expressed reinterpretation of images from 1920${\sim}$1960 to contemporary styles.

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Development of Algorithms for Correcting and Mapping High-Resolution Side Scan Sonar Imagery (고해상도 사이드 스캔 소나 영상의 보정 및 매핑 알고리즘의 개발)

  • 이동진;박요섭;김학일
    • Korean Journal of Remote Sensing
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    • v.17 no.1
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    • pp.45-56
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    • 2001
  • To acquire seabed information, the mosaic images of the seabed were generated using Side Scan Sonar. Short time energy function which is needed for slant range correction is proposed to get the height of Tow-Fish to the reflected acoustic amplitudes of each ping, and that leads to a mosaic image without water column. While generating mosaic image, maximum value, last value and average value are used for the measure of a pixel in the mosaic image and 3-D information was kept by using acoustic amplitudes which were heading for specific direction. As a generating method of mosaic image, low resolution mosaic image which is over 1m/pixel resolution was generated for whole survey area first, and then high resolution mosaic image which is generated under 0.1m/pixel resolution was generated for the selected area. Rocks, ripple mark, sand wave, tidal flat and artificial fish reef are found in the mosaic image.

New range measurement method between aircraft and runway (항공기와 활주로 사이의 새로운 거리측정방법)

  • Lee, Hyeon-Cheol
    • Current Industrial and Technological Trends in Aerospace
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    • v.7 no.2
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    • pp.115-120
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    • 2009
  • Description in this paper is a system for new range measurement method between an aircraft and runway with circular mark in landing runway. The system includes an altimeter and a camera installed on the aircraft, and a circular mark placed on a landing runway. The camera installed on the aircraft must be oriented toward in front of the aircraft, and configured to detect the shape of the circular mark in image information form and a flight control computer configured to calculate the angle between the aircraft and the ground, the ground range between the aircraft and the circular mark, and the slant range between the aircraft and the circular mark with the altitude information measured by the altimeter. This system configured to control the automatic landing of the aircraft with this information.

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Performance Analysis of the reconstruction Algorithms in the Stripmap-mode SAR (Stripmap-mode SAR에서의 영상복원 알고리즘의 성능분석)

  • 박현복;김형주;최정희
    • Proceedings of the Korea Electromagnetic Engineering Society Conference
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    • 2000.11a
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    • pp.29-33
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    • 2000
  • The classical image reconstruction for stripmap SAR is based on the Fresnel approximation which utilizes deramping or chirp deconvolution in the synthetic aperture(slow-time) domain. Another approach in formulating stripmap SAR processing and imaging is based on the SAR wavefront reconsturction theory, and analysis of the SAR signal in the slow-time via the spherical wave Fourier decomposition of the radar radiation pattern. In this paper, we compare the Fresnel approximation and the wavefrong reconstruction methods using simulated stripmap SAR dada.

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Smartphone Based FND Recognition Method using sequential difference images and ART-II Clustering (차영상과 ART2 클러스터링을 이용한 스마트폰 기반의 FND 인식 기법)

  • Koo, Kyung-Mo;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.7
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    • pp.1377-1382
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    • 2012
  • In this paper, we propose a novel recognition method that extract source data from encoded signal that are displayed on FND mounted on home appliances. First of all, it find a candidate FND region from sequential difference images taken by smartphone and extract segment image using clustering RGB value. After that, it normalize segment images to correct a slant error and recognize each segments using a relative distance. Experiments show the robustness of the recognition algorithm on smartphone.

Study on Extraction of the Center Point of Steam Generator Tubes (증기발생기 세관의 중심좌표추출에 대한 연구)

  • 조재완;김창회;서용칠;최영수;김승호
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.263-266
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    • 2002
  • This paper describes extraction procedure for the center coordinates of steam generator tubes of Youngkwang NPP #6, which are arrayed in triangular patterns. Steam generator tube images taken with wide field-of-view lens and low-light lamp mounted on a ccd camera tend to have low contrast, because steam generator is sealed and poorly illuminated. The extraction procedures consists of two steps. The first step is to process the region with superior contrast in entire image of steam generator tubes and to extract the center points. Using the extracted coordinates in the first step and the geometrical array characteristics of tubes lined up in regular triangle forms, the central points of the rest region with low contrast are estimated. The straight lines from center point of a tube to neighbour points in horizontal and 60, 120$^{\circ}$ degree directions are derived. The intersections of straight line In horizontal direction and slant line in regular triangle direction are selected as the center coordinates of steam generator tubes. The Chi-square interpolation method is used to determine the line's coefficients in horizontal and regular triangle direction.

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Improvement OCR Algorithm for Efficient Book Catalog RetrievalTechnology (효과적인 도서목록 검색을 위한 개선된 OCR알고리즘에 관한 연구)

  • HeWen, HeWen;Baek, Young-Hyun;Moon, Sung-Ryong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.1
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    • pp.152-159
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    • 2010
  • Existing character recognition algorithm recognize characters in simple conditional. It has the disadvantage that recognition rates often drop drastically when input document image has low quality, rotated text, various font or size text because of external noise or data loss. In this paper, proposes the optical character recognition algorithm which using bicubic interpolation method for the catalog retrieval when the input image has rotated text, blurred, various font and size. In this paper, applied optical character recognition algorithm consist of detection and recognition part. Detection part applied roberts and hausdorff distance algorithm for correct detection the catalog of book. Recognition part applied bicubic interpolation to interpolate data loss due to low quality, various font and size text. By the next time, applied rotation for the bicubic interpolation result image to slant proofreading. Experimental results show that proposal method can effectively improve recognition rate 6% and search-time 1.077s process result.

Distortion Invariant Vehicle License Plate Extraction and Recognition Algorithm (왜곡 불변 차량 번호판 검출 및 인식 알고리즘)

  • Kim, Jin-Ho
    • The Journal of the Korea Contents Association
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    • v.11 no.3
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    • pp.1-8
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    • 2011
  • Automatic vehicle license plate recognition technology is widely used in gate control and parking control of vehicles, and police enforcement of illegal vehicles. However inherent geometric information of the license plate can be transformed in the vehicle images due to the slant and the sunlight or lighting environment. In this paper, a distortion invariant vehicle license plate extraction and recognition algorithm is proposed. First, a binary image reserving clean character strokes can be achieved by using a DoG filter. A plate area can be extracted by using the location of consecutive digit numbers that reserves distortion invariant characteristic. License plate is recognized by using neural networks after geometric distortion correction and image enhancement. The simulation results of the proposed algorithm show that the accuracy is 98.4% and the average speed is 0.05 seconds in the recognition of 6,200 vehicle images that are obtained by using commercial LPR system.

Multi Characters Detection Using Color Segmentation and LoG operator characteristics in Natural Scene (자연영상에서 컬러분할과 LoG연산특성을 이용한 다중 문자 검출에 관한 연구)

  • Shin, Seong;Baek, Young-Hyun;Moon, Sung-Ryong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.216-222
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    • 2008
  • This paper proposed the multi characters detection algorithm using Color segmentation and the closing curve feature of LoG Operator in order to complement the demerit of the existing research which is weak in complexity of background, variety of light and disordered line and similarity of left and background color, etc. The proposed multi characters detection algorithm divided into three parts : The feature detection, characters format and characters detection Parts in order to be possible to apply to image of various feature. After preprocess that the new multi characters detection algorithm that proposed in this paper used wavelet, morphology, hough transform which is the synthesis logical model in order to raise detection rate by acquiring the non-perfection characters as well as the perfection characters with processing OR operation after processing each color area by AND operation sequentially. And the proposal algorithm is simulated with natural images which include natural character area regardless of size, resolution and slant and so on of image. And the proposal algorithm in this paper is confirmed to an excellent detection rate by compared with the conventional detection algorithm in same image.