scholarly journals Squid Species Matching using Fuzzy Edge Based Algorithm

2020 ◽  
Vol 8 (6) ◽  
pp. 3887-3891
Keyword(s):  
Species Identification ◽  
Complex Structure ◽  
Retrieval Algorithm ◽  
Shape Feature ◽  
Query Image ◽  
Squid Species ◽  
Marine Food Chain ◽  
Morphometric Features ◽  
Commercial Species ◽  
Edge Based

In the area of Commercial species identification, Squids species identification is significant because Squids plays an important role in Marine food chain. The identification of Squid species requires information about their morphometric features. Body shape feature is one of the important morphometric features for Squids. Hence, we consider only shape feature of Squid. Edge detection is an important technique to extract the shape feature for Squid images. Squid images contains uncertainty because of the problems occurs in the data acquisition and its complex structure. Hence, to avoid above mentioned uncertainties occurs in the Squid images consider Fuzzy edge map. In this work Fuzzy Edge Based Retrieval Algorithm is proposed for the query based Squid image retrieval from Squid’s database. In the process of Fuzzy Edge Based Retrieval Algorithm, first Fuzzy Edge map is constructed for Squid images later the Euclidian distance similarity measure performs between Query image and the candidate images in the Squids database. Based on the similarity metric the relevant Squid images are matched with query image are retrieved. The performance of proposed algorithm analysed with precision recall graphs.

An Effective Solution for Trademark Retrieval by Combining Pseudo Zernike Moments and SIFT Features

2012 ◽  
Vol 468-471 ◽  
pp. 777-780
Author(s):  
Zhen Hai Wang
Keyword(s):  
Image Retrieval ◽  
High Precision ◽  
Retrieval System ◽  
Zernike Moments ◽  
Retrieval Algorithm ◽  
Effective Solution ◽  
Global Features ◽  
Query Image ◽  
Image Retrieval System ◽  
Sift Features

This paper proposes a trademark retrieval algorithm combining the image global features and local features. Firstly, extract pseudo Zernike moments of the retrieved image and sort them according to similarity. Candidate images are formed. Then, the SIFT features are used for matching the query image accurately with candidate images. Experimental results show that this method not only keeps high precision- recall of SIFT features and is superior than the method based on the single pseudo Zernike moments feature, but also improves effective retrieval speed compared to the single SIFT features. This method can be well applied to the trademark image retrieval system.

scholarly journals Volumetric Analysis of Abnormal Region in MR Brain Images

2019 ◽  
Vol 9 (1) ◽  
pp. 5129-5137
Keyword(s):  
Imaging Modality ◽  
Complex Structure ◽  
Volumetric Analysis ◽  
Brain Images ◽  
Depth Measurement ◽  
Segmentation Methods ◽  
Segmentation Algorithms ◽  
Mr Brain Images ◽  
Edge Based ◽  
Mr Brain

MRI is known as one of the best imaging modality used for neuro image analysis. Detection of abnormality regions in Brain image is critical due to its complex structure, which can be accurately analyzed with MRI. Several methods and segmentation algorithms have been proposed in the past to extract the abnormal region however there is further scope of increasing the segmentation efficiency. In this work abnormality region in brain is extracted with region based and edge based hybrid segmentation methods and thus obtained region is rendered for volumetric analysis. This analysis is used for depth measurement and localization of abnormal region accurately. Apart from this analysis mainly provides the information about the abnormal region distribution and its connectivity with other regions.

Image Retrieval Based on Shape Feature and Color Feature

2011 ◽  
Vol 341-342 ◽  
pp. 560-564 ◽  
Author(s):  
Jun Ling Liu ◽  
Hong Wei Zhao ◽  
Hao Yu Zhao ◽  
Chong Xu Chen
Keyword(s):  
Image Retrieval ◽  
Search Algorithms ◽  
Retrieval Algorithm ◽  
Shape Feature ◽  
Color Feature ◽  
Color Features ◽  
Better Than

Study the retrieval algorithm based on shape feature and based on color features of image retrieval, to improve the accuracy of image retrieval, and to get results consisting with the shape feature and color feature ,this paper proposed new algorithm comprehensivly utilizing the two search algorithms. Through the image retrieval results show, new algorithm obtain results better than two algorithms, and can improve the retrieval precision.

scholarly journals DRONE-BASED CONTAINER CRANE INSPECTION: CONCEPT, CHALLENGES AND PRELIMINARY RESULTS

2021 ◽  
Vol V-1-2021 ◽  
pp. 121-128
Author(s):  
M. Maboudi ◽  
A. Alamouri ◽  
V. De Arriba López ◽  
M. S. Bajauri ◽  
C. Berger ◽  
...  
Keyword(s):  
Image Analysis ◽  
Complex Structure ◽  
Data Management System ◽  
Target Class ◽  
Query Image ◽  
Container Cranes ◽  
Preliminary Results ◽  
Container Crane ◽  
Surface Damages ◽  
Single Epoch

Abstract. Container crane inspection is a very important task to maintain their uninterrupted operation. Nevertheless, this is a costly and time-consuming activity if performed manually. Recently, image-based detection of surface damages or changes using drones has gained increasing interest in industry; especially when objects of interest have a complex structure like container cranes. One main aim of this paper is a single-epoch image analysis which will also serve later for multi-epoch processing. It provides reliable information about current defects that may lead to big damages if not inspected by experts. Naïve Bayes classifier is employed to classify the images in different classes of which critical defects and especially rust is important. The preliminary results show that the precision on the target class reached about 99%. However, 87% percent recall in this class is not enough and it should be improved for this application.Having a large dataset requires an efficient data management system to provide users and decision makers with the information needed. In addition, in order to foster full automation, the aforementioned image analysis component should have a direct connection to the database and thus is able to query image and semantic information. We therefore introduce the second aim of our research, that is a concept for database design. Here, not only the raw data and the final results are integrated but also the intermediate results. At the same time, the database concept is connected to an integrated client interface that allows retrieving data of interest in a virtual globe.

ITS barcoding-based species identification for Sanghuangporus (Basidiomycota), a genus of medicinal mushrooms

2020 ◽  
Author(s):  
Shi-Liang Liu ◽  
Shan Shen ◽  
Ji-Hang Jiang ◽  
Li-Wei Zhou
Keyword(s):  
Species Identification ◽  
Industrial Development ◽  
Rolling Circle Amplification ◽  
Practical Method ◽  
Its Sequences ◽  
Medicinal Mushrooms ◽  
Rolling Circle ◽  
Interspecific Differences ◽  
Commercial Species ◽  
Its Barcoding

Abstract “Sanghuang” is a kind of important medicinal mushrooms and taxonomically represented by members in the fungal genus Sanghuangporus. Species of Sanghuangporus referred to medicinal studies and industry are discriminated mainly by BLAST search of GenBank with ITS barcoding region as a query. However, the inappropriately labeled ITS sequences related to “Sanghuang” in GenBank restrict accurate species identification and, to some extent, the utilization of these medicinal resources. Here, we examined all available 271 ITS sequences related to “Sanghuang” from GenBank including 31 newly submitted sequences for this study. Of these sequences, more than half were mislabeled and the corresponding species names are corrected. The mislabeled sequences mainly came from strains by non-taxonomists. Based on the analyses of ITS sequences submitted by taxonomists, we treat Sanghuangporus toxicodendri as a later synonym of S. quercicola, and the intraspecific and interspecific differences are below 1.50% (but S. weirianus) and above 1.50%, respectively. Moreover, ten potential diagnostic sequences are provided for hyperbranched rolling circle amplification to rapidly detect three common commercial species, viz. S. baumii, S. sanghuang and S. vaninii. Generally, the current results provide a practical method for ITS barcoding-based species identification of Sanghuangporus, and will promote medicinal studies and industrial development from the taxonomic perspective.

FUZZY EDGE IMAGE MATCHING ALGORITHM FOR SQUID SPECIES IDENTIFICATION

2020 ◽  
Vol 39 (3) ◽  
pp. 95-103
Author(s):  
K Hima bindu ◽  
S. Jyothi ◽  
D.M. Mamatha
Keyword(s):  
Species Identification ◽  
Image Matching ◽  
Edge Image ◽  
Matching Algorithm ◽  
Squid Species

Chemical Species Identification in an SEM by Changes in Emitted X-Ray Energies

1974 ◽  
Vol 32 ◽  
pp. 570-571
Author(s):  
R. H. Duff
Keyword(s):  
Species Identification ◽  
Valence Electron ◽  
Chemical Species ◽  
X Rays ◽  
Chemical Bonds ◽  
Small Shift ◽  
X Ray ◽  
Electron Transitions ◽  
Peak Energy ◽  
Chemical Combination

A material irradiated with electrons emits x-rays having energies characteristic of the elements present. Chemical combination between elements results in a small shift of the peak energies of these characteristic x-rays because chemical bonds between different elements have different energies. The energy differences of the characteristic x-rays resulting from valence electron transitions can be used to identify the chemical species present and to obtain information about the chemical bond itself. Although these peak-energy shifts have been well known for a number of years, their use for chemical-species identification in small volumes of material was not realized until the development of the electron microprobe.

A new method of complex structure analysis by electron microscopy

1978 ◽  
Vol 36 (1) ◽  
pp. 628-629
Author(s):  
V.V. Rybin ◽  
E.V. Voronina
Keyword(s):  
Complex Structure ◽  
Reciprocal Lattice ◽  
Stacking Faults ◽  
Plastic Strains ◽  
Base Position ◽  
Structural Regularity ◽  
Orientation Matrix ◽  
Computerized Processing ◽  
Fully Automatic ◽  
Diffraction Patterns

Recently, it has become essential to develop a helpful method of the complete crystallographic identification of fine fragmented crystals. This was maainly due to the investigation into structural regularity of large plastic strains. The method should be practicable for determining crystallographic orientation (CO) of elastically stressed micro areas of the order of several micron fractions in size and filled with λ>1010 cm-2 density dislocations or stacking faults. The method must provide the misorientation vectors of the adjacent fragments when the angle ω changes from 0 to 180° with the accuracy of 0,3°. The problem is that the actual electron diffraction patterns obtained from fine fragmented crystals are the superpositions of reflections from various fragments, though more than one or two reflections from a fragment are hardly possible. Finally, the method should afford fully automatic computerized processing of the experimental results.The proposed method meets all the above requirements. It implies the construction for a certain base position of the crystal the orientation matrix (0M) A, which gives a single intercorrelation between the coordinates of the unity vector in the reference coordinate system (RCS) and those of the same vector in the crystal reciprocal lattice base : .

Computer processing of high-resolution images of periodic specimens

1986 ◽  
Vol 44 ◽  
pp. 2-5
Author(s):  
W. Chiu ◽  
M.F. Schmid ◽  
T.-W. Jeng
Keyword(s):  
High Resolution ◽  
Fourier Transforms ◽  
Complex Structure ◽  
Distribution Functions ◽  
Multiple Image ◽  
Cryo Electron Microscopy ◽  
Structure Factors ◽  
Unit Cells ◽  
High Resolution Images ◽  
Phase Probability Distribution

Cryo-electron microscopy has been developed to the point where one can image thin protein crystals to 3.5 Å resolution. In our study of the crotoxin complex crystal, we can confirm this structural resolution from optical diffractograms of the low dose images. To retrieve high resolution phases from images, we have to include as many unit cells as possible in order to detect the weak signals in the Fourier transforms of the image. Hayward and Stroud proposed to superimpose multiple image areas by combining phase probability distribution functions for each reflection. The reliability of their phase determination was evaluated in terms of a crystallographic “figure of merit”. Grant and co-workers used a different procedure to enhance the signals from multiple image areas by vector summation of the complex structure factors in reciprocal space.

A large rotating structure around AB Doradus A at VLBI scale

2019 ◽  
Vol 15 (S354) ◽  
pp. 189-194
Author(s):  
J. B. Climent ◽  
J. C. Guirado ◽  
R. Azulay ◽  
J. M. Marcaide
Keyword(s):  
Magnetic Reconnection ◽  
Main Sequence ◽  
Complex Structure ◽  
Main Sequence Star ◽  
Polar Cap ◽  
Vlbi Observations ◽  
Rotating Structure ◽  
Source Structure ◽  
Expected Position

AbstractWe report the results of three VLBI observations of the pre-main-sequence star AB Doradus A at 8.4 GHz. With almost three years between consecutive observations, we found a complex structure at the expected position of this star for all epochs. Maps at epochs 2007 and 2010 show a double core-halo morphology while the 2013 map reveals three emission peaks with separations between 5 and 18 stellar radii. Furthermore, all maps show a clear variation of the source structure within the observing time. We consider a number of hypothesis in order to explain such observations, mainly: magnetic reconnection in loops on the polar cap, a more general loop scenario and a close companion to AB Dor A.

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