Analysis of Structural MRI Using Functional and Classification Approach in Multi-feature

  • Devi RamakrishnanEmail author
  • V. Sathya Preiya
  • A. P. Vijayakumar
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)


Magnetic resonance imaging (MRI) is adjacent to nature and a multi-modality practice which provides the complementary in sequence about dissimilar aspects of diseases. As a competent image (CET) contrast enhancement tool, (AGC) adaptive gamma correction control which was relating with gamma parameter and (CDF) cumulative distribution function in the conventional method which is to engender the function of the pixel gray levels contained by an image. AGC should deals well within the most dimmed images, but fails for worldwide intense images and also the dimmed images within the local bright regions. Such two categories of images which are observed from MRIs, the brightness-distorted images are widespread in genuine scenario, such as to the improper exposure and to the white object regions. To attenuate such kind of deficiencies here we intend an improved the aspects by two methods which are (RIC) region by iteration method of convolution and (S-KC) segmentation by k-levels of clustering. In this proposed work the above given two methods are used by iteration method and the other segmentation in multiple levels of clustering which is to enhance the required response of the MRIs. Both the levels and methods are analyzed in a closed system which to eliminate the unwanted signals and to get the better performance in the MRIs imaging.


Image enhancement Contrast enhancement Segmentation Cerebrospinal fluid White matter Grey matter Edge map Total intracranial image 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Devi Ramakrishnan
    • 1
    Email author
  • V. Sathya Preiya
    • 1
  • A. P. Vijayakumar
    • 2
  1. 1.Department of Computer Science and EngineeringPanimalar Engineering CollegeChennaiIndia
  2. 2.Department of Electrical and Electronics EngineeringHK-ERC and D-AC TechnologiesChennaiIndia

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