• Title/Summary/Keyword: Vertical Histogram

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Content-based Image Retrieval using Color Ratio and Moment of Object Region (객체영역의 컬러비와 모멘트를 이용한 내용기반 영상검색)

  • Kim, Eun-Kyong;Oh, Jun-Taek;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.9B no.4
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    • pp.501-508
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    • 2002
  • In this paper, we propose a content-based image retrieval using the color ratio and moment of object region. We acquire an optimal spatial information by the region splitting that utilizes horizontal-vertical projection and dominant color. It is based on hypothesis that an object locates in the center of image. We use color ratio and moment as feature informations. Those are extracted from the splitted regions and have the invariant property for various transformation, and besides, similarity measure utilizes a modified histogram intersection to acquire correlation information between bins in a color histogram. In experimental results, the proposed method shows more flexible and efficient performance than existing methods based on region splitting.

Dynamic crosswind fatigue of slender vertical structures

  • Repetto, Maria Pia;Solari, Giovanni
    • Wind and Structures
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    • v.5 no.6
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    • pp.527-542
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    • 2002
  • Wind-excited vibrations of slender structures can induce fatigue damage and cause structural failure without exceeding ultimate limit state. Unfortunately, the growing importance of this problem is coupled with an evident lack of simple calculation criteria. This paper proposes a mathematical method for evaluating the crosswind fatigue of slender vertical structures, which represents the dual formulation of a parallel method that the authors recently developed with regard to alongwind vibrations. It takes into account the probability distribution of the mean wind velocity at the structural site. The aerodynamic crosswind actions on the stationary structure are caused by the vortex shedding and by the lateral turbulence, both schematised by spectral models. The structural response in the small displacement regime is expressed in closed form by considering only the contribution of the first vibration mode. The stress cycle counting is based on a probabilistic method for narrow-band processes and leads to analytical formulae of the stress cycles histogram, of the accumulated damage and of the fatigue life. The extension of this procedure to take into account aeroelastic vibrations due to lock-in is carried out by means of ESDU method. The examples point out the great importance of vortex shedding and especially of lock-in concerning fatigue.

Extraction of Features in key frames of News Video for Content-based Retrieval (내용 기반 검색을 위한 뉴스 비디오 키 프레임의 특징 정보 추출)

  • Jung, Yung-Eun;Lee, Dong-Seop;Jeon, Keun-Hwan;Lee, Yang-Weon
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.9
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    • pp.2294-2301
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    • 1998
  • The aim of this paper is to extract features from each news scenes for example, symbol icon which can be distinct each broadcasting corp, icon and caption which are has feature and important information for the scene in respectively, In this paper, we propose extraction methods of caption that has important prohlem of news videos and it can be classified in three steps, First of al!, we converted that input images from video frame to YIQ color vector in first stage. And then, we divide input image into regions in clear hy using equalized color histogram of input image, In last, we extracts caption using edge histogram based on vertical and horizontal line, We also propose the method which can extract news icon in selected key frames by the difference of inter-histogram and can divide each scene by the extracted icon. In this paper, we used comparison method of edge histogram instead of complex methcxls based on color histogram or wavelet or moving objects, so we shorten computation through using simpler algorithm. and we shown good result of feature's extraction.

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An Efficient Pedestrian Recognition Method based on PCA Reconstruction and HOG Feature Descriptor (PCA 복원과 HOG 특징 기술자 기반의 효율적인 보행자 인식 방법)

  • Kim, Cheol-Mun;Baek, Yeul-Min;Kim, Whoi-Yul
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.10
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    • pp.162-170
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    • 2013
  • In recent years, the interests and needs of the Pedestrian Protection System (PPS), which is mounted on the vehicle for the purpose of traffic safety improvement is increasing. In this paper, we propose a pedestrian candidate window extraction and unit cell histogram based HOG descriptor calculation methods. At pedestrian detection candidate windows extraction stage, the bright ratio of pedestrian and its circumference region, vertical edge projection, edge factor, and PCA reconstruction image are used. Dalal's HOG requires pixel based histogram calculation by Gaussian weights and trilinear interpolation on overlapping blocks, But our method performs Gaussian down-weight and computes histogram on a per-cell basis, and then the histogram is combined with the adjacent cell, so our method can be calculated faster than Dalal's method. Our PCA reconstruction error based pedestrian detection candidate window extraction method efficiently classifies background based on the difference between pedestrian's head and shoulder area. The proposed method improves detection speed compared to the conventional HOG just using image without any prior information from camera calibration or depth map obtained from stereo cameras.

Object Tracking Using Information Fusion (정보융합을 이용한 객체 추적)

  • Lee, Jin-Hyung;Jo, Seong-Won;Kim, Jae-Min;Chung, Sun-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.5
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    • pp.666-671
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    • 2008
  • In this paper, we propose a new method for tracking objects continously and successively based on fusion of region information, color information and motion template when multiple objects are occluded and splitted. For each frame, color template is updated and compared with the present object. The predicted region, dynamic template and color histogram are used to classify the objects. The vertical histogram of the silhouettes is analyzed to determine whether or not the foreground region contains multiple objects. The proposed method can recognize more correctly the objects to be tracked.

A High Capacity Reversible Watermarking Using Histogram Shifting (히스토그램 이동을 이용한 고용량 리버서블 워터마킹)

  • Bae, Sung-Ho
    • Journal of Korea Multimedia Society
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    • v.13 no.1
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    • pp.76-82
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    • 2010
  • Reversible watermarking hides some information in a digital image in such a way that an authorized party could decode the hidden information and also restore the image to its original state. In this paper, a high capacity reversible watermarking method using histogram shifting is proposed. In order to increase embedding capacity, the proposed method divides the image into $2{\times}2$ blocks and uses a paring(horizontal, vertical, diagonal) inside each block, then finds a maximum embedding bin which has the most frequent difference values among the parings. Also, the proposed method removes the overflow and underflow by using location map which including the maximum embedding bin and increases the embedding capacity by embedding iteratively. The experimental results show that the proposed method provides a high embedding capacity and good visual quality compared with the conventional reversible watermarking methods.

Vehicle Plate Recognition Using Fuzzy-ARTMAP Neural Network (Fuzzy ARTMAP 신경망을 이용한 차량 번호판 인식에 관한 연구)

  • 김동호;강은택;김현주;이정식;최연성
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.05a
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    • pp.625-628
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    • 2001
  • In this paper, it is shown that the car number plate are recognized more efficiently by using Fuzzy-ARTM AP. We use the location information of characters in the car number plate area and the color intensity difference between the character region and the background region int the tar number plate area. For segmented plate region, the car plate region is extracted by deciding the X-axis region composed by horizontal histogram and the Y-axis region composed by the variance histogram of vertical histogram. Our method then directly recognizes the extracted character region by using Fuzzy-ARTMAP neural network.

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Quantitative Evaluation of Nonlinear Shape Normalization Methods for the Recognition of Large-Set Handwrittern Characters (대용량 필기체 문자 인식을 위한 비선형 형태 정규화 방법의 정량적 평가)

  • 이성환;박정선
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.9
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    • pp.84-93
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    • 1993
  • Recently, several nonlinear shape normalization methods have been proposed in order to compensate for the shape distortions in handwritten characters. In this paper, we review these nonlinear shape normalization methods from the two points of view : feature projection and feature density equalization. The former makes feature projection histogram by projecting a certain feature at each point of input image into horizontal-or vertical-axis and the latter equalizes the feature densities of input image by re-sampling the feature projection histogram. A systematic comparison of these methods has been made based on the following criteria: recognition rate, processing speed, computational complexity and measure of variation. Then, we present the result of quantitative evaluation of each method based on these criteria for a large variety of handwritten Hangul syllables.

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Facial Triangle and Histogram Analysis for Automatic Super-impose Individual Recognition (자동 개인식별을 위한 안면삼각법과 히스토그램분석)

  • 이진행;송현교;강민구
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.3 no.2
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    • pp.321-327
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    • 1999
  • In this progressed super-impose individual recognition system, the photograph of a skull was caught by CCD-camcoder with the MPEG, and an ante-mortem photograph was read by scanner. These two images were processed and superimposed using horizontal angle and vertical angle of face using the forensic dental medicine theory. The enhancement of super-impose individual recognition by anatomical references was performed on the two superimposed images of the same angle using the facial triangle and histogram analysis scheme.

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Study of Tongue Color Histogram in Elderly People with Evacuation Disorder (대변장애를 주증으로 하는 고령자의 혀 색상 히스토그램 특성 연구)

  • Jung, Chang Jin;Kim, JI Hye;Nam, Ji Ho;Jeon, Young Ju;Kim, Keun Ho
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.27 no.5
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    • pp.683-687
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    • 2013
  • Evacuation disorder(ED) is frequently observed in the elderly people. In this study, we investigated the tongue color properties in the elderly. 327 subjects were participated in this study and classified into normal group (n=95) and ED group (n=23) by two Korean Oriental Medicine doctors. The tongue images were acquired by using computerized tongue diagnosis system, and its color were linearly corrected base on CIE $L^*a^*b^*$ values of 12 color samples. The tongue region was segmented from acquired image and divided into two regions along the vertical direction. In order to estimate color properties of the tongue, a color histogram was calculated for the root region based on the CIE $L^*$ and $a^*$ values, and differences of color histogram values between normal and ED groups were computed based on the Mann-Whitney U test. As results, pixels corresponding to typical colors of the pale tongue and thin tongue coating were significantly more distributed in ED than those in normal group(p<0.05). The tongue color of the root region in ED was revealed to be different from those in healthy subjects.