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        <identifier>oai:meral.edu.mm:recid/00007705</identifier>
        <datestamp>2021-12-13T00:24:52Z</datestamp>
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          <dc:title>Automatic Image Segmentation Using Marker Controlled Watershed and Overlap Ratio Based Region Merging</dc:title>
          <dc:creator>Khin Lay Mon</dc:creator>
          <dc:creator>Su Su Hlaing</dc:creator>
          <dc:creator>Mie Mie Tin</dc:creator>
          <dc:creator>Mie Mie Khin</dc:creator>
          <dc:description>This system intends to produce the
correct, useful and meaningful segmented results for medical
analyzing tasks, objects detection and recognition in an
image. It is tested on two different kinds of datasets: medical
images and color natural image dataset. This system has also
achieved accuracy 93.01% for MRI brain images, 76.72%
for color natural images.</dc:description>
          <dc:date>2018-10-11</dc:date>
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          <dc:identifier>https://meral.edu.mm/records/7705</dc:identifier>
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