Region grow approach to detect anomalous shapes of spread of cell transformations from radiological images

T. R. Gopalakrishnan Nair; Richa Sharma

doi:10.1117/12.914542

1 October 2011 Region grow approach to detect anomalous shapes of spread of cell transformations from radiological images

T. R. Gopalakrishnan Nair, Richa Sharma

Author Affiliations +

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82853T (2011) https://doi.org/10.1117/12.914542
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

Segmentation of biological/medical images is a fundamental approach to isolate the regions of anomalous cell transformation in many high level applications. Segmentation carried out using seeded region growing technique has become popular because of its ability to involve the knowledge of anatomical structures in seed creation and selection process [13]. In this paper two different algorithms are carried out to build the regions of anomaly. This paper has implemented a 4 neighbor and a 8 neighbor region growing technique and observed that 4 neighbor approaches tend to fail to reach the actual boundary of the anomalous shape in certain cases. It calls for the extra care needed in generating approaches for such regions of interest for further research. It was also investigated that how a semi adaptive approach is using region mean to modify the threshold.

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T. R. Gopalakrishnan Nair and Richa Sharma "Region grow approach to detect anomalous shapes of spread of cell transformations from radiological images", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82853T (1 October 2011); https://doi.org/10.1117/12.914542

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