CBIR Using Similarity Measure Analysis Based on Region Based Level Set Segmentation

R. V. Rajesh; S. Arif Abdul Rahuman; J. Veerappan

doi:10.15866/irecos.v9i1.1045

CBIR Using Similarity Measure Analysis Based on Region Based Level Set Segmentation

R. V. Rajesh^(1*), S. Arif Abdul Rahuman⁽²⁾, J. Veerappan⁽³⁾

^(*) Corresponding author

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Abstract

The panorama of this paper is level set approach which has got skillful mechanism of grasping the image region from the input image. So now the exemploriest software mechanism of this paper is input image extracted by level set segmentation and we will compute the impeccable histogram value of the segmentation image. And also we have got a protocol that stored database either online or offline (Two dimensional or Multidimensional) the every reference image has got impeccable histogram value.
The second stage of this paper is the histogram values of input image and referenced image are compared. If both are impeccably matching we will undergo by trainer which has got iterations of computation mechanism. So we can find the result by matching input image and referenced image. This is the stepping stone for all pattern matching analysis and also data which is Two or Multidimensional. And also for parallel processing in super computer fast mechanism

Keywords

Level Set Approach; Region Based Image Retrieval; Color-Size Histogram (CSH); Earth Mover Distance (EMD)

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