Image Segmentation &amp;#150; A State-Of-Art Survey for Prediction

Raut, Shital; Raghuwanshi, M. M.; Dharaskar, Rajiv V.; Raut, Adarsh

doi:10.1109/icacc.2009.78

Cited by 70 publications

(44 citation statements)

References 6 publications

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“…Skarbek et al categorised various approaches more in depth mainly focused on colour segmentation [22] . Raut et al added some modern approaches as well [16]. From these analyses we can summarise the important approaches of segmentation as follows:…”

Section: Related Workmentioning

confidence: 99%

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Developer-friendly segmentation using OpenVL, a high-level task-based abstraction

Miller

Fels

Jang

2013

2013 1st IEEE Workshop on User-Centered Computer Vision (UCCV)

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Research into computer vision techniques has far outpaced the development of interfaces (such as APIs) to support the techniques' accessibility, especially to developers who are not experts in the field. We present a new interface, specifically for segmentation methods, designed to be application-developer-friendly while retaining sufficient power and flexibility to solve a wide variety of problems. The interface presents segmentation at a higher level (above algorithms) and uses a task-based description derived from definitions of low-level segmentation. We show that through interpretation, the description can be used to invoke an appropriate method to provide the developer's requested result. Our proof-of-concept implementation interprets the model description and invokes one of six segmentation methods with automatically derived parameters, which we demonstrate on a range of segmentation tasks. We also discuss how the concepts presented for segmentation may be extended to other computer vision problems.

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Section: Related Workmentioning

confidence: 99%

“…Some methods use multi-dimensional histograms to extend this approach to include colour and texture properties for the segmenta-tion [16].…”

Section: Related Workmentioning

confidence: 99%

Developer-friendly segmentation using OpenVL, a high-level task-based abstraction

Miller

Fels

Jang

2013

2013 1st IEEE Workshop on User-Centered Computer Vision (UCCV)

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“…Some image segmentation techniques are presented by (Raut et al, 2009) procedures. Region growing procedure groups pixels or sub regions into large regions based on predefined criteria.…”

Section: The State-of-the-artmentioning

confidence: 99%

“…(Angus, 2007) proposed a technique for a Population-based Ant Colony Optimization (PACO) to Multi-objective Function Optimization (MOFO). (Raut et al, 2009) proposed an approach used for prediction using segmentation. They use a Graph-Partitioning technique which has some bases on Ontology.…”

Section: The State-of-the-artmentioning

confidence: 99%

“…On Image Understanding and Analysis there is Content Based Image Retrieval, that aims to develop efficient search engines that can find items on an image database by using a reference image, detecting similarities. The mathematical formulation of segmentation is defined as follows (Raut et al, 2009): Let I be the set of all image pixels, then by applying segmentation we obtain different unique non-overlapping regions { } 123 ,,, . .…”

Section: Image Segmentation and Data Clusteringmentioning

confidence: 99%

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Image Segmentation through Clustering Based on Natural Computing Techniques

Costa¹,

Souza²

2011

Image Segmentation

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Synthesis and reactivity of spiro[1,3,4‐thiadiazoline‐2,4′‐thioflavans] and analogues

Somogyi

2009

Journal of Heterocyclic Chem

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in Wiley InterScience (www.interscience.wiley.com).Racemic thioflavanone (thio)acylhydrazones undergo transformation into racemic 3-acetylspiro[1,3,4-oxa(thia)-diazoline-2,4 0 -thioflavans] with trans O(1) or S(1) and Ph(2 0 eq) under acetylating conditions. Conjugation between the ethylenic bond and sp 2 C(4) in thioflavones encumber both the formation of (thio)acylhydrazones and their subsequent spirocyclization. On the other hand, subsequent dehydrogenation of the thiopyran moiety of spiro compounds results in formation of sp 2 C(4) and simultaneous degradation of the spirodiazoline ring.

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Image Segmentation  A State-Of-Art Survey for Prediction

Cited by 70 publications

References 6 publications

Developer-friendly segmentation using OpenVL, a high-level task-based abstraction

Developer-friendly segmentation using OpenVL, a high-level task-based abstraction

Image Segmentation through Clustering Based on Natural Computing Techniques

Synthesis and reactivity of spiro[1,3,4‐thiadiazoline‐2,4′‐thioflavans] and analogues

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