With the tremendous growth in the use of biomedical literature, practitioners have to analyze day to day generated 3D medical images of sonography, MRI scan, CT scan. The idea behind this survey is to study different 3D image concepts and processing methods which will help to create model of 3D image analysis, retrieval in the field of medical domain. A new technique like Hadoop'sMapReduce is used to achieve parallelism in Image processing methods which leads to quick and accurate diagnosis. This paper focuses on study of different 3D image processing methods which can be parallelized using Hadoop framework. This will help readers in choosing appropriate method or methods in their development or research activity.

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Scale Invariant Feature Transform (sift) Speeded Up Robust Feature (surf) Bag-of-visual Words (bovw) Color And Edge Directivity Descriptor (cedd) Fuzzy Color Histogram.