Global Contour and Region Based Shape Analysis and Similarity Measures

Chaudhuri, Debasis

doi:10.14429/dsj.63.3767

Cited by 5 publications

(4 citation statements)

References 74 publications

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“…The author ,W. Lu , in 2012, in his paper [21] , has selected seven invariant moments, circularity degree, rectangle degree, sphericity degree, concavity degree and flat degree as description features . The author , D. Chaudhuri , in 2013, in his paper [22] ,have reviewed the existing shape representation and description techniques .The author has discussed several approaches of global contour and region based shape description methods.…”

Section: Related Workmentioning

confidence: 99%

Fish Shape Recognition using Multiple Shape Descriptors

Ghosh¹,

Mukherjee²,

Parekh³

2013

IJCA

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This paper studies recognition of fish shapes using both Region based and Contour based shape based descriptors [9]. Moment Invariants are chosen as the Region based descriptor and the Simple (geometric) shape descriptors (SSD) are used as Contour based shape descriptors. The shapes are varied through scaling and rotation. Manhattan Distance is used as the classifier. The study of the recognition rate by using moment invariants and simple shape descriptors is done separately. Each moment invariant (M1 , M2 , M3 , M4 and M5) is studied separately and jointly. Then simple shape descriptors are combined with moment invariants to get hybrid feature vectors for improving recognition rate.

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Section: Related Workmentioning

confidence: 99%

Fish Shape Recognition using Multiple Shape Descriptors

Ghosh¹,

Mukherjee²,

Parekh³

2013

IJCA

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“…In terms of the shape feature that we want to describe, we distinguish between indices describing the perimeter, plane characteristics, and geometry (Zhang and Lu 2004;Chaudhuri 2013).…”

Section: Introductionmentioning

confidence: 99%

Using the parcel shape index to determine arable land division types

Foški¹

2019

AGS

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Annual subscription/letna naročnina: 20 € for individuals/za posameznike, 28 € for institutions/za ustanove. Single issue/cena posamezne številke: 12,50 € for individuals/za posameznike, 16 € for institutions/za ustanove. Cartography/kartografija: Geografski inštitut Antona Melika ZRC SAZU Translations/prevodi: DEKS, d. o. o. DTP/prelom: SYNCOMP, d. o. o. Printed by/tiskarna: Tiskarna Present, d. o. o. Print run/naklada: 350 copies/izvodov The journal is subsidized by the Slovenian Research Agency and is issued in the framework of the Geography of Slovenia core research programme (P6-0101)/revija izhaja s podporo Javne agencije za raziskovalno dejavnost Republike Slovenije in nastaja v okviru raziskovalnega programa Geografija Slovenije (P6-0101).

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“…These shape features can affect the performance of visual recognition, detection, and search tasks 43 , 44 . Moreover, shape similarity is often used to describe differences between shapes 5 , 45 , 46 . In visual search tasks, shape exerts a modulation effect on performance under static conditions: the influence of the conjunction of tapering and aspect ratio on search rate differs for different targets 47 .…”

Section: Introductionmentioning

confidence: 99%

Shape representation modulating the effect of motion on visual search performance

Yang

Rong

Lin

et al. 2017

Sci Rep

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The effect of motion on visual search has been extensively investigated, but that of uniform linear motion of display on search performance for tasks with different target–distractor shape representations has been rarely explored. The present study conducted three visual search experiments. In Experiments 1 and 2, participants finished two search tasks that differed in target–distractor shape representations under static and dynamic conditions. Two tasks with clear and blurred stimuli were performed in Experiment 3. The experiments revealed that target–distractor shape representation modulated the effect of motion on visual search performance. For tasks with low target–distractor shape similarity, motion negatively affected search performance, which was consistent with previous studies. However, for tasks with high target–distractor shape similarity, if the target differed from distractors in that a gap with a linear contour was added to the target, and the corresponding part of distractors had a curved contour, motion positively influenced search performance. Motion blur contributed to the performance enhancement under dynamic conditions. The findings are useful for understanding the influence of target–distractor shape representation on dynamic visual search performance when display had uniform linear motion.

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Global Contour and Region Based Shape Analysis and Similarity Measures

Cited by 5 publications

References 74 publications

Fish Shape Recognition using Multiple Shape Descriptors

Fish Shape Recognition using Multiple Shape Descriptors

Using the parcel shape index to determine arable land division types

Shape representation modulating the effect of motion on visual search performance

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