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A Survey on Seeded Region Growing based Segmentation ... - ijcsmr

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Internati<strong>on</strong>al Journal of Computer Science and Management Research Vol 2 Issue 6 June 2013<br />

ISSN 2278-733X<br />

resulting system is tested <strong>on</strong> simulated objects and B-mode<br />

ultrasound images of the liver with suspected lesi<strong>on</strong>s.<br />

IV. HOW SEEDED REGION GROWING WORKS<br />

Figure 3 is dem<strong>on</strong>strate that how seeded regi<strong>on</strong> growing<br />

will work to grow pixel by pixel to achieve the segmentati<strong>on</strong>.<br />

Figure 3: Seed growing Method<br />

C<strong>on</strong>clusi<strong>on</strong>s<br />

By doing a deep survey <strong>on</strong> high quality journal we have found<br />

that the placing a seed in seeded regi<strong>on</strong> growing segmentati<strong>on</strong><br />

algorithm is a critical issue. Wr<strong>on</strong>gly selected seed not give<br />

much accurate results. This paper has also shown the various<br />

algorithms which can be applied to segment a given image<br />

using regi<strong>on</strong> growing <strong>based</strong> algorithms. This paper has also<br />

shown the working of seed placement algorithms. In near<br />

future new algorithm will be proposed which will<br />

automatically select the seed to segment given image in<br />

efficient manner.<br />

REFERENCES<br />

[1] K<strong>on</strong>stantinos N. Plataniotis Alain Tremeau, Shoji Tominaga, “Color in<br />

image and video processing: Most recent trends and future research<br />

directi<strong>on</strong>s”, pages 1-26, 2008.<br />

[2] Marian Bakos, “Active c<strong>on</strong>tours and their utilizati<strong>on</strong> at image<br />

segmentati<strong>on</strong>”, pages 17-21, 2007.<br />

[3] David Boen, “<strong>Seeded</strong> regi<strong>on</strong> growing”, 2004.<br />

[4] David Boen, “Segmenting 2d ultrasound images using seeded regi<strong>on</strong><br />

growing”, 2006.<br />

[5] T.R.Gopalakrishnan Nair Harikrishna Rai G.N. Gradient <strong>based</strong> seeded<br />

regi<strong>on</strong> grow method for ct angiographic image segmentati<strong>on</strong>. 2011.<br />

[6] R.K.Krishna2 Shilpa Kamdi1. Image segmentati<strong>on</strong> and regi<strong>on</strong> growing<br />

algorithm. pages 103-107.<br />

[7] Sunday O.Ojo Tranos Zuva, Oludayo O. Olugbara and Seleman M.<br />

Ngwira. Image segmentati<strong>on</strong>, available techniques, developments and<br />

open issues. pages 20-29, 3, March 2011.<br />

[8] Kshitij Pawar & S.S Rathod Vikramaditya Dangi, Amol Parab. Image<br />

processing <strong>based</strong> intelligent traffic c<strong>on</strong>troller. pages 13-17, 2012.<br />

[9] Yu-Hsiang Wang. Image segmentati<strong>on</strong>. January, 2010.<br />

[10] XIN GAO 2 YING YANG 1, 2. Image segmentati<strong>on</strong> using edgeowdriven<br />

geometric snake. pages 505-509, 2007.<br />

[11] B.S.Manjunath Yining Deng and Hyundoo Shin. Halft<strong>on</strong>e visual<br />

cryptography. Trans.Img.Proc., August 2006.<br />

Savneet Dhaliwal et.al.<br />

2817<br />

www.<strong>ijcsmr</strong>.org

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