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Title: Statistical Region Merging
Page Link: Statistical Region Merging -
Posted By: seminar class
Created at: Monday 25th of April 2011 01:29:04 PM
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Presented by:
PEDDI.SRINIVASA RAO
NALABOTHULA.SRIRAM
PUVADA.PAVAN KUMAR


ABSTRACT:
This paper explores a statistical basis for a process often described in computer vision: image segmentation by region merging following a particular order in the choice of regions. We exhibit a particular blend of algorithmics and statistics whose segmentation error is, as we show, limited from both the qualitative and quantitative standpoints. This approach can be efficiently approximated in linear time/space, leading to a ....etc

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Title: Size-Controllable Region-of-Interest in Scalable Image Representation
Page Link: Size-Controllable Region-of-Interest in Scalable Image Representation -
Posted By: bluefeather
Created at: Wednesday 07th of March 2012 11:25:20 PM
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Title: Hybrid Algorithm With Artifact Detection Mechanism for Region Filling
Page Link: Hybrid Algorithm With Artifact Detection Mechanism for Region Filling -
Posted By: rajkumarlb
Created at: Sunday 24th of January 2010 09:43:08 PM
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hello sir
i want more detail about the project whose title is A Hybrid Algorithm With Artifact Detection Mechanism for Region Filling After Object removal from digital photography'


with regars
rajkumar
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Title: object removal and region filling project source code
Page Link: object removal and region filling project source code -
Posted By:
Created at: Friday 24th of February 2012 01:28:25 AM
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Title: seeded region growing segmentation matlab code
Page Link: seeded region growing segmentation matlab code -
Posted By:
Created at: Saturday 27th of October 2012 08:30:33 PM
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Title: region based image segmentation simple matlab code
Page Link: region based image segmentation simple matlab code -
Posted By:
Created at: Tuesday 23rd of October 2012 01:54:56 PM
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Title: A Texture based Tumor detection and automatic Segmentation using Seeded Region Growin
Page Link: A Texture based Tumor detection and automatic Segmentation using Seeded Region Growin -
Posted By: smart paper boy
Created at: Thursday 25th of August 2011 11:53:07 AM
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A Texture based Tumor detection and automatic Segmentation using Seeded Region Growing Method
Abstract
Detection and segmentation of Brain tumor accurately is a challenging task in MRI. The MRI image is an image that produces a high contrast images indicating regular and irregular tissues that help to distinguish the overlapping in margin of each limb. All automatic seed finding methods may suffer with the problem if there is no growth of tumor and any small white part is there. But when the edges of tumor is not sharped then ....etc

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Title: INDIAN North- Eastern Region POWER
Page Link: INDIAN North- Eastern Region POWER -
Posted By: project report helper
Created at: Tuesday 02nd of November 2010 08:10:52 PM
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INDIAN North- Eastern Region POWER

Tantra Narayan Thakur
PTC India Ltd.
ASSOCHAM
October 2008


Indian Economy
___________________________________
• High Growth +8%
• Sustained past performance
• Resilience –ripple-effect
• Positive future outlook
• Inclusive Growth
• ‘Look East’ Policy
• North-Eastern Region – to play an increasingly important role in
realizing the dream


Infrastructure- Huge Investment Requirement
____________________________________
� ....etc

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Title: a hybrid algorithm with artifact detection mechanism fir region filling after object
Page Link: a hybrid algorithm with artifact detection mechanism fir region filling after object -
Posted By: rajkumarlb
Created at: Sunday 24th of January 2010 10:53:10 PM
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Title: Object Modeling for Multicamera Correspondence Using Fuzzy Region Color Adjacency Gra
Page Link: Object Modeling for Multicamera Correspondence Using Fuzzy Region Color Adjacency Gra -
Posted By: project report tiger
Created at: Monday 01st of March 2010 06:03:27 PM
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Abstract
In this paper, a novel moving object modeling suitable for multicamera correspondence is introduced. Taking into consideration the color and motion features of foreground objects in each independent video stream, our method segments the existing moving objects and constructs a graph-based structure to maintain the relational information of each segment. Using such graph structures reduces our correspondence problem to a subgraph optimal isomorphism problem. The proposed method is robust against various resolutions and orientations of ....etc

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