Abstract
In medical image processing and analysis, segmentation is most compulsory assignment. In this paper, A multi-directional region growing approach is presented which use the concept of multiple seed selection to reduce the time consumption of region growing segmentation technique. The multiple seed selection concept works on the basis of eight-connected neighboring pixels. The attentiveness of the approach includes the selection of easiness of inceptive pixel and robustness to noises and the sequence of pixel execution. In order to choose a suitable threshold, the conception of neighboring difference transform (NDT) is presented for reducing the concern of threshold assortment issue. Exploratory outcome exhibits that this approach can acquire outstanding segmenting outcome; it will also not affect the result in the case of images with noises.
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Acknowledgements
The Medical Images are downloaded from the website of retrospective Image registration evaluation project of Vanderbilt university (http://www.insight-journal.org/rire/).
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Kapoor, A., Aggarwal, R. (2021). Image Segmentation of MR Images with Multi-directional Region Growing Algorithm. In: Sharma, M.K., Dhaka, V.S., Perumal, T., Dey, N., Tavares, J.M.R.S. (eds) Innovations in Computational Intelligence and Computer Vision. Advances in Intelligent Systems and Computing, vol 1189. Springer, Singapore. https://doi.org/10.1007/978-981-15-6067-5_22
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DOI: https://doi.org/10.1007/978-981-15-6067-5_22
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