Automatic detection and localization of croaker’s fish calls using beamforming

2018 ◽  
Vol 144 (3) ◽  
pp. 1692-1692
Author(s):  
Ikuo Matsuo ◽  
Kazuki Yamato ◽  
Ryuzo Takahashi ◽  
Tomohito Imaizumi ◽  
Tomonari Akamatsu
Keyword(s):  
Automatic Detection ◽  
Detection And Localization

scholarly journals Automatic Detection and Localization of Macular Edema

2020 ◽  
Vol 5 (9) ◽  
pp. 552-558
Author(s):  
S. Sumithra ◽  
K. R. Remya ◽  
Dr. M. N. Giri Prasad
Keyword(s):  
Macular Edema ◽  
Vision Loss ◽  
Automatic Detection ◽  
Detection Algorithm ◽  
Support Vector ◽  
Fisher Linear Discriminant ◽  
Linear Discriminant ◽  
The People ◽  
Simple Linear Iterative Clustering ◽  
Detection And Localization

Diabetic retinopathy is an eye disease and causes vision loss to the people who are suffering longer from the diabetes. Exudates, bright and red lesions are identified in the diabetic retinal eye. Automatic detection and localization of macular edema is a challenging issue since exudates have non uniform illumination and are low contrasted. Proposed algorithm to detect macular edema encompasses Simple Linear Iterative Clustering, Fisher linear discriminant and Support vector machine classifer. Optic Disc extraction prior to exudates extraction is also introduced. Performance of the proposed detection algorithm is tested on easily available databases: Diaretdb1, Messidor and E_optha Ex. Proposed method shows an accuracy of 97.81%, specificity 98.65 and Sensitivity 82.71%.

scholarly journals Automatic detection and localization of sister chromatid exchanges.

1976 ◽  
Vol 24 (1) ◽  
pp. 168-177 ◽  
Author(s):  
G W Zack ◽  
J A Spriet ◽  
S A Latt ◽  
G H Granlund ◽  
I T Young
Keyword(s):  
Computer Analysis ◽  
Sister Chromatid ◽  
Automatic Detection ◽  
Sister Chromatid Exchanges ◽  
Banding Patterns ◽  
Sister Chromatids ◽  
Manual Methods ◽  
Detection And Localization ◽  
Chromatid Exchanges

Sister chromatids of human metaphase chromsomes from cells which have replicated twice in medium containing 5-bromodeoxyuridine exhibit unequal fluorescence when stained with the dye 33258 Hoechst. Sister chromatid exchanges occurring in these chromosomes are apparent as interchanges of brightly and dully fluorescing chromatids. A technique for detecting such exchanges by computer analysis of chromsome images has been developed and found to campare favorably with manual methods. The exchanges have been localized in the context of quinacrine banding patterns.

High-sensitivity microseismic monitoring: Automatic detection and localization of subsurface noise sources using matched-field processing and dense patch arrays

Geophysics ◽  
2019 ◽  
Vol 84 (6) ◽  
pp. KS211-KS223 ◽  
Author(s):  
Małgorzata Chmiel ◽  
Philippe Roux ◽  
Thomas Bardainne
Keyword(s):  
Automatic Detection ◽  
High Sensitivity ◽  
High Amplitude ◽  
Hydrothermal Activity ◽  
Microseismic Monitoring ◽  
Seismic Monitoring ◽  
Monitoring Networks ◽  
Noise Sources ◽  
Matched Field Processing ◽  
Detection And Localization

Recent advancements in seismic data acquisition and computational power have enhanced the deployment of dense seismic monitoring networks. The growing volume of recorded data requires the development of automated techniques to monitor and image zones of seismicity. We have developed an automatic detection and localization method that demands minimal a priori information for retrieval of the spatial distribution of subsurface noise sources (including, but not limited to, microseismic activity), in a reservoir and in the near vicinity during a hydraulic fracturing treatment. This method is based on matched-field processing (MFP), which takes advantage of the phase coherence that is recorded at dense arrays of sensors to localize noise sources. MFP is applied with a distributed set of patch arrays in the context of geophysics exploration. The MFP approach is applied to ambient noise recordings, and it provides results that are consistent with the classic localization methods applied to high-amplitude microseismic signals (in particular, using the relative template-based method). Furthermore, MFP provides enhanced sensitivity of detection and spatially extended information about structural heterogeneities. MFP opens a route to continuous, automatic, statistics-based, and high-sensitivity reservoir monitoring and imaging for geophysics exploration. Potential applications can also be envisaged for seismic monitoring of volcanic and geyser activities, and for other types of hydrothermal activity.

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