• Title/Summary/Keyword: Morphological Features

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Taxonomic Position and Affinities of Isopyrum mandshuricum within Korean Isopyroideae (Ranunculaceae) Based on Molecular Data

  • Lee, Nam-Sook;Yeau, Sung-Hee;Kim, Ji-Hyun;Kim, Min-Ju
    • Animal cells and systems
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    • v.3 no.2
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    • pp.133-141
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    • 1999
  • To examine the taxonomic position and affinities of Isopyrum mandshuricum (Ranunculaceae) and related taxa, genetic analysis were carried out on the basis of isozyme patterns and ITS sequences. Molecular data, both isozyme patterns and ITS sequences suggest that I. mandshuricum is closely related to Enemion raddeanum than to Semiaquilegia adoxoides. The estimation of genetic identities by isozyme analysis reveals that I. manshuricum is genetically distant from E. raddeanum. The phylogenetic tree based on molecular data is rather congruent with the phenogram based on quantitative morphological characteristics, but not consistent with one based on qualitative morphological characteristics. Incongruencies between molecular and qualitative morphological data provide clues to re-evaluate several morphological features.

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First Record and Morphological Features of the Dinoflagellate Peridinium aciculiferum Lemm. (Dinophyceae) in Korean Freshwater

  • Ki Jang-Seu;Han Myung-Soo
    • Korean Journal of Environmental Biology
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    • v.23 no.4
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    • pp.323-327
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    • 2005
  • Two morphologically different species of Peridinium were frequently observed in natural samples collected monthly from Togyo Reservoir. One was previously identified as P. bipes Stein f. occultatum (Lindem.) Lef. (Ki and Han 2005), the other was remained uncertainly so far. We resolved their identity, based on the morphological observations with scanning electron microscopy. The formula of epithecal plate was recorded with 7 precingular, 3 intercalary and 4 apical plates (4', 3a, 7'). An apical pore was apparently present. The conspicuous morphology of the Peridinium was three spines on the hypothecal plates. The average body length and width were $33.6\;{\mu}m$ with a range of $26\~45{\mu}m$, and 25.7 with a range of $19\~31{\mu}m$, respectively; the cell was, therefore, shown slightly elongated. Based on their morphological characteristics, the causative organism was identified as P. aciculiferum (Lemm.), which was reported for the first time in Korean freshwater.

Morphological features of thermophilic activated sludge treating food industry wastewater in MBR

  • Ince, Mahir;Topaloglu, Alikemal;Ince, Elif
    • Membrane and Water Treatment
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    • v.9 no.1
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    • pp.33-42
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    • 2018
  • Microscopic examination of the activated sludge and morphological characterization of the flocs provides detailed information about the treatment process. The aim of this study is to investigate the morphological parameters of flocs obtained from a thermophilic jet loop membrane bioreactor (JLMBR) in different sludge retention times (SRTs), considering EPS and SMP concentration, hydrophobicity, zeta potential. The results showed that irregularity decreased with the increasing SRT. The compactness value was calculated to be less than 1 for all SRTs. However, the sludge had a more compact structure when the SRT increased. Zeta potential increased whereas hydrophobicity and floc size reduced, with increasing SRT. Furthermore, 2-D porosity calculated using the hole ratio was higher at greater SRTs. Hence, there was a significant correlation between the results obtained using the imaging technique and operation conditions of thermophilic JLMBR.

Morphological description and molecular analysis of newly recorded Anneissia pinguis (Crinoidea: Comatulida: Comatulidae) from Korea

  • Kim, Philjae;Shin, Sook
    • Journal of Species Research
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    • v.9 no.4
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    • pp.467-472
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    • 2020
  • The crinoid specimens of the genus Anneissia were collected from Nokdong, Korea Strait, and Moseulpo, Jeju Island. The specimens were identified as Anneissia pinguis (A.H. Clark, 1909), which belongs to the family Comatulidae of the order Comatulida. Anneissia pinguis was first described by A.H. Clark in 1909 around southern Japan. This species can be distinguished from other Anneissia species by a longish and stout cirrus, much fewer arms, and short distal cirrus segments. The morphological features of Korean specimens are as follows: large disk (20-35 mm), 28-36 segments and 32-43 mm length cirrus, division series in all 4 (3+4), very stout and strong distal pinnule with 18-19 comb and 40 arms. In Korea fauna, only three species of genus Anneissia were recorded: A. intermedia, A. japonica, and A. solaster. In this study, we provide the morphological description and phylogenetic analysis based on cytochrome c oxidase subunit I.

First report and morphological description of two Acrobeloides species(Nematoda: Rhabditida: Cephalobidae) in South Korea

  • Kim, Taeho;Lee, Yucheol;Park, Joong-Ki
    • Journal of Species Research
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    • v.10 no.4
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    • pp.405-411
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    • 2021
  • The genus Acrobeloides(Cobb, 1924) Thorne, 1937 are bacterial feeders and are one of the most abundant and widely distributed nematode groups in various terrestrial environments. Based on morphological and morphometric analyses, we found two Acrobeloides species reported in Korea for the first time: A. bodenheimeri (Steiner, 1936) Thorne, 1937 and A. tricornis (Throne, 1925) Thorne, 1937. These species exhibit morphological characters concordant with typical features of the genus Acrobeloides, such as a fusiform pharyngeal corpus with swollen metacorpus and lateral incisures extending to the tail terminus. However, A. bodenheimeri is distinguished from other acrobeloids by having its low and rounded labial probolae, distinct post-uterine sac and five lateral incisures. Acrobeloides tricornis is distinguished from its congeners by the following characteristics: its high labial probolae with acuate termini, inconspicuous post-uterine sac and five lateral incisures. Morphological characters and their measurements, and illustrations of A. bodenheimeri and A. tricornis are described in this study.

Face Region Detection Using a Variable Ellipsoidal Mask and Morphological Features (가변 타원 마스크와 형태학적 특징을 이용한 얼굴 영역 검출)

  • 이재국;김경훈;김태영;최원호
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.5
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    • pp.361-367
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    • 2003
  • We propose an algorithm to detect the face region using a variable ellipsoidal mask and a neural network. Since outlines of human faces are similar to ellipsoid, the ellipsoidal mask that has the fixed ratio of major and minor axis can be used to detect the candidate area. The positions of eyes and lips are extracted in this candidate area, and then the morphological analysis is applied to make features which are consist of six parameters, such as the geometrical ratio of eyes and lips. A back-propagation neural network is used as a classifier to determine the most possible face region. The experimental result is conducted to verify its efficiency compared with those of previous works.

Analysis of Plants Shape by Image Processing (영상처리에 의한 식물체의 형상분석)

  • 이종환;노상하;류관희
    • Journal of Biosystems Engineering
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    • v.21 no.3
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    • pp.315-324
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    • 1996
  • This study was one of a series of studies on application of machine vision and image processing to extract the geometrical features of plants and to analyze plant growth. Several algorithms were developed to measure morphological properties of plants and describing the growth development of in-situ lettuce(Lactuca sativa L.). Canopy, centroid, leaf density and fractal dimension of plant were measured from a top viewed binary image. It was capable of identifying plants by a thinning top viewed image. Overlapping the thinning side viewed image with a side viewed binary image of plant was very effective to auto-detect meaningful nodes associated with canopy components such as stem, branch, petiole and leaf. And, plant height, stem diameter, number and angle of branches, and internode length and so on were analyzed by using meaningful nodes extracted from overlapped side viewed images. Canopy, leaf density and fractal dimension showed high relation with fresh weight or growth pattern of in-situ lettuces. It was concluded that machine vision system and image processing techniques are very useful in extracting geometrical features and monitoring plant growth, although interactive methods, for some applications, were required.

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Recognition of Car License Plates Using Fuzzy Clustering Algorithm

  • Cho, Jae-Hyun;Lee, Jong-Hee
    • Journal of information and communication convergence engineering
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    • v.6 no.4
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    • pp.444-447
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    • 2008
  • In this paper, we proposed the recognition system of car license plates to mitigate traffic problems. The processing sequence of the proposed algorithm is as follows. At first, a license plate segment is extracted from an acquired car image using morphological features and color information, and noises are eliminated from the extracted license plate segment using line scan algorithm and Grassfire algorithm, and then individual codes are extracted from the license plate segment using edge tracking algorithm. Finally the extracted individual codes are recognized by an FCM algorithm. In order to evaluate performance of segment extraction and code recognition of the proposed method, we used 100 car images for experiment. In the results, we could verify the proposed method is more effective and recognition performance is improved in comparison with conventional car license plate recognition methods.

Automaticfor age-related pathological periventricular white matter changes (WMC) using k-means clustering and morphological features on T2-weighted and proton density (PD) MR images

  • 조익환;송인찬;오정수;장기현;정동석
    • Proceedings of the KSMRM Conference
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    • 2003.10a
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    • pp.34-34
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    • 2003
  • Age-related WMCs frequently appear in older subjects and are known to be associated with cognitive impairment and brain pathologies such as Alzheimer's disease and stroke. However, it is difficult to detect WMC correctly by using only intensity-based clustering scheme because the intensity levels of WC are similar to those of gray matter(GM). In this paper, we aimed to develop a fast and accurate scheme to detect and segment periventricular WMCs by using both k-means clustering method and morphological features.

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Fully Automatic Segmentation Method of Pathological Periventricular White Matter Changes Using Morphological Features

  • Cho Ik-Hwan;Song In-Chan;Oh Jung-Su;Jeong Dong-Seok
    • Journal of Biomedical Engineering Research
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    • v.26 no.6
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    • pp.383-391
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    • 2005
  • Age-related White Matter Changes (WMC) on Magnetic Resonance Imaging (MRI) are known to appear frequently in Multiple sclerosis (MS) and Alzheimer's disease and to be related to cognitive impairment. The characterization of these WMC is very important to the study of psychology and aging. These changes consist of periventricular and subcortical types, however it is difficult to detect and segment WMC using only intensity-based methods, because their intensity, level IS similar to th~t of the gray matter (GM). In this paper, we propose a new method of segmenting periventricular WMC using K-means clustering and morphological features.