Medical image segmentation using multi resolution histogram
العنوان: | Medical image segmentation using multi resolution histogram |
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المؤلفون: | T. K. Ganga, V. Karthikeyani |
المصدر: | 2011 3rd International Conference on Electronics Computer Technology. |
بيانات النشر: | IEEE, 2011. |
سنة النشر: | 2011 |
مصطلحات موضوعية: | business.industry, Computer science, Segmentation-based object categorization, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, Pattern recognition, Image segmentation, Region growing, Histogram, Medical imaging, Segmentation, Computer vision, Artificial intelligence, business, Image resolution |
الوصف: | An efficient algorithm for Multi resolution medical image segmentation is presented. The main objective of medical image segmentation is to extract the anatomic structures and its characteristics with respect to some input features. There exists various methodologies for medical image segmentation but struggles with missing features due to the noise presence in the medical images. We propose a new technique to increase the resolution of the medical images to identify the features and edges of the medical images. We use multi-class Histogram based segmentation method to preserve the edges and increase the resolution of the medical images. With the proposed technique the memory and time consumption is hugely reduced, which is an important factor in the medical field and produces good results. |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::3646d312f6254a280d766cd4b5495713Test https://doi.org/10.1109/icectech.2011.5942095Test |
رقم الانضمام: | edsair.doi...........3646d312f6254a280d766cd4b5495713 |
قاعدة البيانات: | OpenAIRE |
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