Li-Hong Juanga, Ming-Ni Wub
Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 257-266, 2018, DOI:10.1080/10798587.2016.1272778
Abstract In this paper we explore these math approaches for medical image applications. The application of the
proposed method for detection tumor will be able to distinguish exactly tumor size and region. In this
research, some major design and experimental results of tumor objects detection method for medical
brain images is developed to utilize an automatic multi-thresholding method to handle this problem
by combining the histogram analysis and the Otsu clustering. The histogram evaluations can decide
the superior number of clusters firstly. The Otsu classification algorithm solves the given medical image
by continuously separating the input gray-level image by multi-thresholding until… More >
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