• Title/Summary/Keyword: Image Edge

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A 2D FLIR Image-based 3D Target Recognition using Degree of Reliability of Contour (윤곽선의 신뢰도를 고려한 2차원 적외선 영상 기반의 3차원 목표물 인식 기법)

  • 이훈철;이청우;배성준;이광연;김성대
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12B
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    • pp.2359-2368
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    • 1999
  • In this paper we propose a 2D FLIR image-based 3D target recognition system which performs group-to-ground vehicle recognition using the target contour and its degree of reliability extracted from FLIR image. First we extract target from background in FLIR image. Then we define contour points of the extracted target which have high edge gradient magnitude and brightness value as reliable contour point and make reliable contour by grouping all reliable contour points. After that we extract corresponding reliable contours from model contour image and perform comparison between scene and model features which are calculated by DST(discrete sine transform) of reliable contours. Experiment shows that the proposed algorithm work well and even in case of imperfect target extraction it showed better performance then conventional 2D contour-based matching algorithms.

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Cell Image Processing Methods for Automatic Cell Pattern Recognition and Morphological Analysis of Mesenchymal Stem Cells - An Algorithm for Cell Classification and Adaptive Brightness Correction -

  • Lim, Kitaek;Park, Soo Hyun;Kim, Jangho;SeonWoo, Hoon;Choung, Pill-Hoon;Chung, Jong Hoon
    • Journal of Biosystems Engineering
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    • v.38 no.1
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    • pp.55-63
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    • 2013
  • Purpose: The present study aimed at image processing methods for automatic cell pattern recognition and morphological analysis for tissue engineering applications. The primary aim was to ascertain the novel algorithm of adaptive brightness correction from microscopic images for use as a potential image analysis. Methods: General microscopic image of cells has a minor problem which the central area is brighter than edge-area because of the light source. This may affect serious problems to threshold process for cell-number counting or cell pattern recognition. In order to compensate the problem, we processed to find the central point of brightness and give less weight-value as the distance to centroid. Results: The results presented that microscopic images through the brightness correction were performed clearer than those without brightness compensation. And the classification of mixed cells was performed as well, which is expected to be completed with pattern recognition later. Beside each detection ratio of hBMSCs and HeLa cells was 95% and 92%, respectively. Conclusions: Using this novel algorithm of adaptive brightness correction could control the easier approach to cell pattern recognition and counting cell numbers.

An Implementation of Smart E-Calipers for Mobile Phones (모바일 폰을 이용한 스마트 E-캘리퍼스 구현)

  • Yun, Han-Kyung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.5
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    • pp.331-337
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    • 2020
  • The study is underway with the goal of developing an app that will replace vernier calipers using a smartphone's high-performance camera. The specifications of the camera mounted on recent smart phones have evolved so that usually has a 12 Mpixels of image sensor and its size of the pixel is 1.4㎛ and the size of the image sensor is 1 / 2.55 in. The proposed algorithm will apply to develop a precision measuring application that will compete with the Vernier calipers. Most existing applications cannot guarantee an accuracy in scale because the scale of the ruler displayed on the image is unclear or the size of the measurement object varies depending on the distance between the camera and the measurement object. In addition, another accurate measuring tools using lasers are also available, but they are limited because they are expensive. Therefore, if easy-to-carry and precise applications are developed, it is possible to substitute existing measurement tools. The proposed correction algorithm is an algorithm that automatically corrects the distorted source image using the shape and size information of the known template. The e-calipers are applications that display the distance when the area to be measured is specified in the corrected image.

The development of product inspection X-ray DR image processing system using intensifying screen (형광지를 이용한 물품검사 X-선 DR 영상처리 시스템 개발)

  • Park, Mun-kyu;Moon, Ha-jung;Lee, Dong-hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.7
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    • pp.1737-1742
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    • 2015
  • In the industrial field for product inspection needs not only on the surface of the product but also the internal components defect inspection. Generally, optical inspection is mainly used for item inspection from production process. However, this is only to check defect of surface it is difficult to perform inspection of goods internal. To overcome these limitations, Instead of optical device by using the portable X- ray DR image acquisition device system developed to obtain an image in real time at the same time and determine product defects. After obtaining the X- ray image, the inspection product within error range is passed after machine image processing. Also, the results and numbers are stored by users.

Adult Image Detection Using an Intensity Filter and an Improved Hough Transform (명암 필터와 개선된 허프 변환을 이용한 성인영상 검출)

  • Jang, Seok-Woo;Kim, Sang-Hee;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.5
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    • pp.45-54
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    • 2009
  • In this paper, we propose an adult images detection algorithm using a mean intensity filter and an improved 2D Hough Transform. This paper is composed of three major steps including a training step, a recognition step, and a verification step. The training step generates a mean nipple variance filter that will be used for detecting nipple candidate regions in the recognition step. To make the mean variance filter, we converts an input color image into a gray scale image and normalize it, and make an average intensity filter for nipple areas. The recognition step first extracts edge images and finds connected components, and decides nipple candidate regions by considering the ratio of width and height of a connected component. It then decides final nipple candidates by calculating the similarity between the learned nipple average intensity filter and the nipple candidate areas. Also, it detects breast lines of an input image through the improved 2D Hough transform. The verification step detects breast areas and identifies adult images by considering the relations between nipple candidate regions and locations of breast lines.

Functions of ImageTale Application and Utilization for Psychological Counseling and Education (이미지테일 앱의 기능과 심리상담 및 교육을 위한 활용)

  • Mee Hyang Koo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.6
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    • pp.109-116
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    • 2024
  • Recently, with the development of science and technology, various products using cutting-edge technology are being released in the human care service field. A wind of change is blowing in the field of psychological counseling, which traditionally provided services mainly through face-to-face contact in counseling rooms to help clients grow, and in the field of education, which emphasized real-time interaction of human to human. In particular, as the demand for non-face-to-face contact increases due to COVID-19, the need for counseling and educational media using internet-based applications has emerged. This study introduced the ImageTail app developed for psychological counseling and education. The design, function, and implementation process of the Imagetail app were analyzed, and the suitability of the Imagetail app as a psychological counseling medium was confirmed during the Imagetail counseling stage, which create of images and stories, and the before and after stages. Lastly, by analyzing cases in which the ImageTail app was used for psychological counseling and education, the usefulness and usability of the ImageTail app as a medium to understand human inner psychology and support growth and development was explored.

Edge-adaptive demosaicking method for complementary color filter array of digital video cameras (디지털 비디오 카메라용 보색 필터를 위한 에지 적응적 색상 보간 방법)

  • Han, Young-Seok;Kang, Hee;Kang, Moon-Gi
    • Journal of Broadcast Engineering
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    • v.13 no.1
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    • pp.174-184
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    • 2008
  • Complementary color filter array (CCFA) is widely used in consumer-level digital video cameras, since it not only has high sensitivity and good signal-to-noise ratio in low-light condition but also is compatible with the interlaced scanning used in broadcast systems. However, the full-color images obtained from CCFA suffer from the color artifacts such as false color and zipper effects. These artifacts can be removed with edge-adaptive demosaicking (ECD) approaches which are generally used in rrimary color filter array (PCFA). Unfortunately, the unique array pattern of CCFA makes it difficult that CCFA adopts ECD approaches. Therefore, to apply ECD approaches suitable for CCFA to demosaicking is one of the major issues to reconstruct the full-color images. In this paper, we propose a new ECD algorithm for CCFA. To estimate an edge direction precisely and enhance the quality of the reconstructed image, a function of spatial variances is used as a weight, and new color conversion matrices are presented for considering various edge directions. Experimental results indicate that the proposed algorithm outperforms the conventional method with respect to both objective and subjective criteria.

3D Stereoscopic Image Generation of a 2D Medical Image (2D 의료영상의 3차원 입체영상 생성)

  • Kim, Man-Bae;Jang, Seong-Eun;Lee, Woo-Keun;Choi, Chang-Yeol
    • Journal of Broadcast Engineering
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    • v.15 no.6
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    • pp.723-730
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    • 2010
  • Recently, diverse 3D image processing technologies have been applied in industries. Among them, stereoscopic conversion is a technology to generate a stereoscopic image from a conventional 2D image. The technology can be applied to movie and broadcasting contents and the viewer can watch 3D stereoscopic contents. Further the stereoscopic conversion is required to be applied to other fields. Following such trend, the aim of this paper is to apply the stereoscopic conversion to medical fields. The medical images can deliver more detailed 3D information with a stereoscopic image compared with a 2D plane image. This paper presents a novel methodology for converting a 2D medical image into a 3D stereoscopic image. For this, mean shift segmentation, edge detection, intensity analysis, etc are utilized to generate a final depth map. From an image and the depth map, left and right images are constructed. In the experiment, the proposed method is performed on a medical image such as CT (Computed Tomograpy). The stereoscopic image displayed on a 3D monitor shows a satisfactory performance.

IMToon: Image-based Cartoon Authoring System using Image Processing (IMToon: 영상처리를 활용한 영상기반 카툰 저작 시스템)

  • Seo, Banseok;Kim, Jinmo
    • Journal of the Korea Computer Graphics Society
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    • v.23 no.2
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    • pp.11-22
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    • 2017
  • This study proposes IMToon(IMage-based carToon) which is an image-based cartoon authoring system using an image processing algorithm. The proposed IMToon allows general users to easily and efficiently produce frames comprising cartoons based on image. The authoring system is designed largely with two functions: cartoon effector and interactive story editor. Cartoon effector automatically converts input images into a cartoon-style image, which consists of image-based cartoon shading and outline drawing steps. Image-based cartoon shading is to receive images of the desired scenes from users, separate brightness information from the color model of the input images, simplify them to a shading range of desired steps, and recreate them as cartoon-style images. Then, the final cartoon style images are created through the outline drawing step in which the outlines of the shaded images are applied through edge detection. Interactive story editor is used to enter text balloons and subtitles in a dialog structure to create one scene of the completed cartoon that delivers a story such as web-toon or comic book. In addition, the cartoon effector, which converts images into cartoon style, is expanded to videos so that it can be applied to videos as well as still images. Finally, various experiments are conducted to verify the possibility of easy and efficient production of cartoons that users want based on images with the proposed IMToon system.

Hybrid Watermarking Technique using DWT Subband Structure and Spatial Edge Information (DWT 부대역구조와 공간 윤곽선정보를 이용한 하이브리드 워터마킹 기술)

  • 서영호;김동욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.5C
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    • pp.706-715
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    • 2004
  • In this paper, to decide the watermark embedding positions and embed the watermark we use the subband tee structure which is presented in the wavelet domain and the edge information in the spatial domain. The significant frequency region is estimated by the subband searching from the higher frequency subband to the lower frequency subband. LH1 subband which has the higher frequency in tree structure of the wavelet domain is divided into 4${\times}$4 submatrices, and the threshold which is used in the watermark embedding is obtained by the blockmatrix which is consists by the average of 4${\times}$4 submatrices. Also the watermark embedding position, Keymap is generated by the blockmatrix for the energy distribution in the frequency domain and the edge information in the spatial domain. The watermark is embedded into the wavelet coefficients using the Keymap and the random sequence generated by LFSR(Linear feedback shift register). Finally after the inverse wavelet transform the watermark embedded image is obtained. the proposed watermarking algorithm showed PSNR over 2㏈ and had the higher results from 2% to 8% in the comparison with the previous research for the attack such as the JPEG compression and the general image processing just like blurring, sharpening and gaussian noise.