• Title/Summary/Keyword: Binary mask

Search Result 87, Processing Time 0.024 seconds

Lung and Airway Segmentation using Morphology Information and Spline Interpolation in Lung CT Image (흉부 CT 영상의 형태학적 정보 및 Spline 보간법을 이용한 폐 및 기관지 분할 알고리즘)

  • Cho, Joon-Ho;Kim, Jung-Chul
    • Journal of Broadcast Engineering
    • /
    • v.18 no.5
    • /
    • pp.702-712
    • /
    • 2013
  • In this paper, we proposed an algorithm that extracts the airway and lung without loss of information in spite of the pulmonary vessel and nodules of the chest wall in the chest CT images. We use a mask image in order to improve the performance and to save processing time of airway and lung segmentation. In the second step, by converting left and right lungs to binary image using the morphological information, we have removed the solitary pulmonary nodule to identify the value of the threshold lung and the chest wall. The last step is to connect the outer shell of the lung with cubic Spline interpolation by adding the perfect pixel and computing the distance of the removed part. Experimental results using Matlab verified that the proposed method could overcome the drawbacks of the conventional methods.

Enhanced segmentation method of a fingerprint image using run-length connectivity (Run-Length Connectivity를 이용한 지문영상의 영역분리 방법의 개선)

  • Park Jung-Ho;Song Jong-Kwan;Yoon Byung-Woo;Lee Myeong-Jin
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.5 no.4
    • /
    • pp.249-255
    • /
    • 2004
  • In fingerprint verification and identification, fingerprint and background region should be segmented. For this purpose, most systems obtain variance of brightness of X and Y direction using Sobel mask. To decide given local region is background or not, the variance is compared with a certain threshold. Although this method is simple, most fingerprint image does not separated with two region of fingerprint and background region. In this paper, we presented a new segmentation algorithm based on Run-Length Connectivity analysis. For a given binary image after thresholding, suggested algorithm calculates RL of X and Y direction. Until the given image is segmented to two regions, small run region is successively inverted. Experimental result show that this algorithm effectively separates fingerprint region and background region.

  • PDF

Optical Security System Using Phase Mask and Interferometer (위상 카드와 간섭계를 이용한 광학적 보안 시스템)

  • Kim, Jong-Yun;Kim, Gi-Jeong;Park, Se-Jun;Kim, Cheol-Su;Bae, Jang-Geun;Kim, Jeong-U;Kim, Su-Jung
    • Journal of the Institute of Electronics Engineers of Korea SD
    • /
    • v.38 no.1
    • /
    • pp.37-43
    • /
    • 2001
  • In this paper, we propose a new optical security technique using two phase masks based on interferometer. A binary random phase image is used as a reference image and the encrypted image is generated according to the phase difference between the reference image and the original image. If there is no phase difference of a same pixel position in two phase masks, interference intensity of the pixel has minimum value and if phase difference of a same pixel position in two phase masks is $\pi$, its interference intensity has maximum value. We can decrypt the original image by putting two phase masks on each of the two optical paths of the Mach-Zehnder interferometer. Computer simulation and the optical experiments show a good performance of the proposed optical security system.

  • PDF

Image Processing Technique for Laser Beam Recognition in Shooting Simulation System (모의 사격 시스템에서 레이저 빔 인식을 위한 영상처리 기법)

  • Oh, Se-Chang;Han, Dong-Il
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.13 no.3
    • /
    • pp.594-601
    • /
    • 2009
  • Shooting simulation systems not only reduce a great amount of expense and time for military exercises but also prevent accidents. In particular, the shooting simulation systems using laser beam have an advantage which is very similar to the shooting exercise that uses real bullets. However, real time technique for laser beam recognition in a target image is necessary. The method proposed in this paper takes a difference image from two adjacent image frames. Then a thresholding is applied on this difference image to discriminate laser beam from background. To decide the threshold value the intensity distribution of background points is modeled assuming normal distribution. Then a noise reduction and a region segmentation are applied on the binary image to find the position of a laser beam. The time complexity of this process depends on the size of an image multiplied by the size of a mask used in the noise reduction process. The experimental result showed that the accuracy of the system was 93.3%. Even in the inaccurate cases the beam was always found in the resultant region.

Traffic Sign Area Detection by using Color Rate and Distance Rate (컬러비와 거리비를 이용한 교통표지판 영역추출)

  • Kwak, Hyun-Wook;Lee, Woo-Beom;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
    • /
    • v.9B no.5
    • /
    • pp.681-688
    • /
    • 2002
  • This paper proposes a system detecting the area of traffic sign, which uses color rate as the information of colors, and corner point and distance rate as the information of morphology. In this system, a candidate area is extracted by performing dilation operation on the binary image made by the color rate of R, G, B components and by detecting corner point and center point through mask. The area of traffic sign with varied shapes is extracted by calculating the distance rate from center point, which is the information of morphology. The results of this experiment demonstrate that in this system which is invariable regardless of its size and location, it is possible to extract the exact area from varied traffic signs such as the shapes of triangle, circle, inverse triangle, and square as well as from the images at both day and night when brightness value is greatly different. Moreover, it demonstrates great accuracy and speed in processing.

Anarchy of Empire and Empathy of Suffering: Reading of So Far from the Bamboo Grove and Year of Impossible Goodbyes from the Perspectives of Postcolonial Feminism (제국의 혼동과 고통의 분담 -탈식민페미니즘의 관점에서 본 『요코 이야기』와 『떠나보낼 수 없는 세월』)

  • Yu, Jeboon
    • Journal of English Language & Literature
    • /
    • v.58 no.1
    • /
    • pp.163-183
    • /
    • 2012
  • This paper is one of those attempts to explore some possibility of agreement between feminist discourse and postcolonial discourses through the approach of postcolonial feminism in the reading of the controversial novel, So Far from the Bamboo Grove and Year of Impossible Goodbyes. So Far from the Bamboo Grove, when read from the perspective of postcolonial feminism, reveals 'domestic nationalism' of imperial narratives in which the violence of imperial history in Korea is hidden behind the picture of every day lives of an ordinary Japanese family and Japanese women. Furthermore, postcolonial feminist's perspective interprets Yoko family's nostalgia for their 'home,' Nanam in Korea, as 'imperialist nostalgia' working as a mask to hide the violent history of colonization of Empire. In this way, postcolonial feminist reading of the story detects the ways the narrative of Empire appropriates women, family image and even nostalgia for childhood. At the same time, this perspective explains the readers' empathy for Yoko family's suffering and the concerning women issues caused by wartime rape and sexual violence by defining Yoko as a woman of Japanese Empire, whose life of interstice between imperial men and colonial men cannot be free from violence of rape during anti colonial wars. Year of Impossible Goodbyes as a counter discourse does not overcome the traditional binary opposition of nationalism which quietens gender and class issues. As an attempt to fill in the interstice between the two perspectives of feminism and postcolonialism. postcolonial feminist reading turns out to be a valid tool for the reading of the two novels chosen here.

A Passport Recognition and face Verification Using Enhanced fuzzy ART Based RBF Network and PCA Algorithm (개선된 퍼지 ART 기반 RBF 네트워크와 PCA 알고리즘을 이용한 여권 인식 및 얼굴 인증)

  • Kim Kwang-Baek
    • Journal of Intelligence and Information Systems
    • /
    • v.12 no.1
    • /
    • pp.17-31
    • /
    • 2006
  • In this paper, passport recognition and face verification methods which can automatically recognize passport codes and discriminate forgery passports to improve efficiency and systematic control of immigration management are proposed. Adjusting the slant is very important for recognition of characters and face verification since slanted passport images can bring various unwanted effects to the recognition of individual codes and faces. Therefore, after smearing the passport image, the longest extracted string of characters is selected. The angle adjustment can be conducted by using the slant of the straight and horizontal line that connects the center of thickness between left and right parts of the string. Extracting passport codes is done by Sobel operator, horizontal smearing, and 8-neighborhood contour tracking algorithm. The string of codes can be transformed into binary format by applying repeating binary method to the area of the extracted passport code strings. The string codes are restored by applying CDM mask to the binary string area and individual codes are extracted by 8-neighborhood contour tracking algerian. The proposed RBF network is applied to the middle layer of RBF network by using the fuzzy logic connection operator and proposing the enhanced fuzzy ART algorithm that dynamically controls the vigilance parameter. The face is authenticated by measuring the similarity between the feature vector of the facial image from the passport and feature vector of the facial image from the database that is constructed with PCA algorithm. After several tests using a forged passport and the passport with slanted images, the proposed method was proven to be effective in recognizing passport codes and verifying facial images.

  • PDF