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Image Retrival Based on Segmentation

EasyChair Preprint no. 5639

5 pagesDate: May 27, 2021


In this project we are approaching that image retrieval based on the segmentation process. Image retrieval is always based on image color, text and shape. Here we are identifying the image features by using threshold process. So what is meaning by threshold process is just converting the color image to black and white by using mean formula. After that depending upon the segmentation process we will retrieve the images by assuming the shapes of the image. This paper presents an efficient image retrieval technique based on content using segmentation approach and by considering global distribution of color. To cope with significant appearance changes, the method uses a global size and shape histogram to represent the image regions obtained after segmenting the image based on color similarity. The indexing technique can be found to be significant in comparison to its other counterparts, such as moment based method, due to its transformation invariance and effective retrieval performance over several application domains.

Keyphrases: DCT, GUI, QR

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Gobinda Bauri},
  title = {Image Retrival Based on Segmentation},
  howpublished = {EasyChair Preprint no. 5639},

  year = {EasyChair, 2021}}
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