International Journal of Computer Science & Engineering Technology

ISSN : 2229-3345

Open Access
Open Access

ABSTRACT

Title : Computationally Efficient Segmentation Model for Collection of Images
Authors : G.SARANYA, L.M.VARALAKSHMI, R.DEEPA
Keywords : Biological image segmentation, Image segmentation, Interactive, Microscopic images, Multiple images.
Issue Date : April 2013
Abstract :
A semisupervised optimization model for determining an efficient segmentation of many input images is proposed in this paper. The advantage of this model is twofold. Firstly, the segmentation is highly controllable as the portion chosen for segmentation can be specified by providing the labeled pixels in images for the model either offline or interactively. Secondly, the model requires only minimal tuning of model parameters during the initial stage. Once initial tuning is done, it can be used to automatically segment a large collection of images that are distinct but share similar features. It is proposed to conduct extensive experiments on various collections of biological images, it will be established that the model proposed is quite computationally efficient and effective for segmentation.
Page(s) : 407-415
ISSN : 2229-3345
Source : Vol. 4, Issue.4

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