Abstract
Image processing has a great impact in the field of medical science. The engineering application spreads over various applications and equally it shows the effective performance. In current research, the medical diagnosis as well as the medical data analysis is most challenging job, as it is very complex task. The complexity is tried to reduced by the help of image processing in this approach. Colloidal Cyst, located in the third ventricle of the human brain is considered in this work for the purpose of detection at the time of diagnosis. Image Processing especially useful for detection, recognition and classification etc. In this chapter, a simple as well as a novel method has been applied for the colloidal cyst detection. The novelty is the structuring element is considered in such a manner that a better result is obtained as compared to traditional and basic morphological methods. The structuring elements used as gradient operator and also has been considered in their complementary forms which produces better results than the initial structuring elements.
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Behera, S., Mohanty, M.N., Patnaik, S. (2012). A Comparative Analysis on Edge Detection of Colloid Cyst: A Medical Imaging Approach. In: Patnaik, S., Yang, YM. (eds) Soft Computing Techniques in Vision Science. Studies in Computational Intelligence, vol 395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25507-6_7
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DOI: https://doi.org/10.1007/978-3-642-25507-6_7
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