• Title/Summary/Keyword: Morphological Image Processing

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The Extraction of Effective Index Database from Voice Database and Information Retrieval (음성 데이터베이스로부터의 효율적인 색인데이터베이스 구축과 정보검색)

  • Park Mi-Sung
    • Journal of Korean Library and Information Science Society
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    • v.35 no.3
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    • pp.271-291
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    • 2004
  • Such information services source like digital library has been asked information services of atypical multimedia database like image, voice, VOD/AOD. Examined in this study are suggestions such as word-phrase generator, syllable recoverer, morphological analyzer, corrector for voice processing. Suggested voice processing technique transform voice database into tort database, then extract index database from text database. On top of this, the study suggest a information retrieval model to use in extracted index database, voice full-text information retrieval.

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Context-free Marker-controlled Watershed Transform for Over-segmentation Reduction

  • Seo, Kyung-Seok;Cho, Sang-Hyun;Park, Chang-Joon;Park, Heung-Moon
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.482-485
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    • 2000
  • A modified watershed transform is proposed which is context-free marker-controlled and minima imposition-free to reduce the over-segmentation and to speedup the transform. In contrast to the conventional methods in which a priori knowledge, such as flat zones, zones of homogeneous texture, and morphological distance, is required for marker extraction, context-free marker extraction is proposed by using the attention operator based on the GST (generalized symmetry transform). By using the context-free marker, the proposed watershed transform exploit marker-constrained labeling to speedup the computation and to reduce the over-segmentation by eliminating the unnecessary geodesic reconstruction such as the minima imposition and thereby eliminating the necessity of the post-processing of region merging. The simulation results show that the proposed method can extract context-free markers inside the objects from the complex background that includes multiple objects and efficiently reduces over-segmentation and computation time.

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Position and Orientation Recognition for Adjusting Electronic Tuners (전자 튜너 조정을 위한 위치와 방향 인식)

  • Yang, Jae-Ho;Kong, Young-June;Lee, Moon-Kyu
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.2 s.95
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    • pp.39-49
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    • 1999
  • This paper describes the development of a vision-aided position and orientation recognition system for automatically adjusting electronic tuners which control the waveform by rotating variable resisters. The position and orientation recognition system estimates the center and the angle of the tuner grooves so that the main controller may correct the difference from the ideal position and thereby manipulate the variable resisters automatically. In this paper a robust algorithm is suggested which estimates the center and the angle of the tuner grooves fast and precisly from the source image with lighting variance and video noise. In the algorithm morphological filtering, 8-chain coding, and invariant moments are sequentially used to figure out image segments concerned. The performance of the proposed system was evaluated using a set of real specimens. The results indicate the system works well enough to be used practically in real manufacturing lines. If the system adopts a high speed frame grabber which enables real time image processing, it can also be applied to positioning of robot manipulators as well as automated PCB adjusters.

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A Study on Pyramid of Binary Image Using Mathematical Morphology (수학적 형태학을 이용한 이진 영상의 피라미드에 관한 연구)

  • 엄경배;김준철;이준환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.9
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    • pp.1239-1247
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    • 1993
  • Mathematical morphology based on the set theory has been applied to various areas in image processing. In this study, we propose a new pyramid structure for binary images based on the morphological operations. We use a specific class of structuring elements to shrink or expand images, and prove that the whole operations are separable to construct the pyramid. Through a simulation study, we show that the pyramid can be used as a progressive image coding.

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An Adaptive Pseudomedian Filter for the Ultrasound Medical Image Processing (진단 초음파 영상 처리를 위한 적응 Pseudomedian 필터)

  • Eo, Jin-Woo;Hur, Eun-Seok
    • Journal of IKEEE
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    • v.7 no.2 s.13
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    • pp.271-280
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    • 2003
  • This paper presents an effective method to segment objects from the ultrasound medical image which is inherently corrupted by speckle noise. In order to reduce the speckle noise morphological opening was used as preprocessing. For the preprocessed image, sample variance of neighborhood pixels is to be computed to classify where the pixel is located on the edge region or homogeneous region. Then pseudomedian filtering with different window size is taken according to the region classified, named adaptive pseudomedian filter. Various experimental results were presented to prove superiority of the proposed filter.

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3D Film Image Inspection Based on the Width of Optimized Height of Histogram (히스토그램의 최적 높이의 폭에 기반한 3차원 필름 영상 검사)

  • Jae-Eun Lee;Jong-Nam Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.2
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    • pp.107-114
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    • 2022
  • In order to classify 3D film images as right or wrong, it is necessary to detect the pattern in a 3D film image. However, if the contrast of the pixels in the 3D film image is low, it is not easy to classify as the right and wrong 3D film images because the pattern in the image might not be clear. In this paper, we propose a method of classifying 3D film images as right or wrong by comparing the width at a specific frequency of each histogram after obtaining the histogram. Since, it is classified using the width of the histogram, the analysis process is not complicated. From the experiment, the histograms of right and wrong 3D film images were distinctly different, and the proposed algorithm reflects these features, and showed that all 3D film images were accurately classified at a specific frequency of the histogram. The performance of the proposed algorithm was verified to be the best through the comparison test with the other methods such as image subtraction, otsu thresholding, canny edge detection, morphological geodesic active contour, and support vector machines, and it was shown that excellent classification accuracy could be obtained without detecting the patterns in 3D film images.

Morphological Shape Decomposition using Multiscan Mode (다중스캔 모드를 이용한 형태론적인 형상분해)

  • 고덕영;최종호
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.37 no.2
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    • pp.33-40
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    • 2000
  • In this study, a shape decomposition method using morphological operations is studied for decomposing the complex shape in 2-D image into its simple primitive elements. The serious drawback of conventional shape representation algorithm is that primitive elements are extracted too much to represent and to describe the shape. To solve these problems, a new shape decomposition algorithm using primitive elements that are similar to the geometrical characteristics of shape and 4 scan modes is proposed in this study. The multiple primitive elements as circle, square, and rhombus are extracted by using multiscan modes in a new algorithm. This algorithm have the characteristics that description error and number of primitive elements is reduced. Then, description efficiency is improved. The procedures is also simple and the processing time is reduced.

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A Characteristic Analysis of Physical, Chemical and Electrical Property for Bunker C Fly Ash (Bunkder C유 회분의 물리적, 화학적, 전기적 특성분석)

  • 이재근;이정언;안영철
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 1996.04a
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    • pp.88-96
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    • 1996
  • The characteristic analysis of fly ash generated from a fired power plant using bunker-C oil has been investigated. Ash size distribution by an optical microscopy with image processing technique, morphological shape by a scanning electron microscope(SEM) and microscope, chemical composition by the inductively coupled plasma emission spectrometry(ICP), and resistivity measurement as a function of temperature and moisture content by the resistivity meter are performed. A study of physical, chemical and electrical characteristics of bunker-C fly ash plays an important role of improving the performance of an electrostatic precipitator and protecting air pollution. The samples of bunker-C fly ash for analysis were collected from the electrostatic precipitator hopper of Ulsan Power Plant Unit 1 and Pusan Power Plant Unit 1. Mass median diameter(MMD) of bunker-C fly ash was measured 12.7${\mu}{\textrm}{m}$, while MMD of fly ash generated from the mixture of bunker-C oil(40%) and domestic anthracitic coal(60%) was 25.7${\mu}{\textrm}{m}$. The morphological structure of bunker-C fly ash consisted of fine particles of non-spherical shape. The primary chemical components of bunker-C fly ash were composed of SiO2(2.36%), Al2O3(4.91%), Fe2O3(14.33%) and C(11.84%). Resistivity of bunker-C fly ash was found to be increased with increasing temperature at the range of 100~15$0^{\circ}C$ and was measured 103~104 ohm-cm.

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Algorithm of Morphological Multimode Binary Shape Decomposition (형태론적 다중모드 2진 형상분해 알고리즘)

  • Choi, Jong-Ho
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.9
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    • pp.67-75
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    • 1999
  • In this paper, a shape decomposition method using morphological operations is studied for decomposing the complex shape in 2-D image into its simple primitive elements. The serious drawback of conventional shape representation algorithm is that primitive elements are extracted too much to represent and to describe the shape. To solve these problems, a new shape decomposition algorithm using primitive elements tat are similar to the geometrical characteristics of shape and 4 scan modes is proposed in this study. The multiple primitive elements as circle, square, and rhombus are extracted by using multiscan modes in a new algorithm. This algorithm have chatacteristics that description error and number of primitive elements is reduced. Then, description efficiency is improved. The procedures is also simple and the processing time is reduced.

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A Study on Edge Detection Algorithm using Local Mask and Morphological Operation (모폴로지 연산과 국부 마스크를 이용한 에지 검출 알고리즘에 관한 연구)

  • Lee, Chang-Young;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.900-902
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    • 2015
  • In the modern society, according to the advancement in digital image processing technology, edge detection is being utilized in various application sectors such as smart device and medical, etc. In existing edge detection methods, there are Sobel, Prewitt, Roberts and Laplacian, etc, which uses the mask. These previous methods are easy to implement but shows somewhat insufficient results. Therefore, in order to compensate the problems of existing methods, in this paper, an algorithm that detects the edge using the local mask and morphological operation was proposed and the detection performance was compared against the previous methods.

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