Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique

Bibliographic Details
Main Author: Supriyanto, Eko
Format: Conference or Workshop Item
Published: 2011
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author Supriyanto, Eko
author_facet Supriyanto, Eko
author_sort Supriyanto, Eko
collection ePrints
first_indexed 2024-03-05T19:19:58Z
format Conference or Workshop Item
id utm.eprints-46415
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T19:19:58Z
publishDate 2011
record_format dspace
spelling utm.eprints-464152017-08-30T06:35:12Z http://eprints.utm.my/46415/ Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique Supriyanto, Eko 2011 Conference or Workshop Item PeerReviewed Supriyanto, Eko (2011) Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique. In: The 15th Wseas Gscc Multiconference.
spellingShingle Supriyanto, Eko
Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique
title Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique
title_full Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique
title_fullStr Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique
title_full_unstemmed Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique
title_short Ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique
title_sort ultrasound appendix image segmentation using histogram thresholding and image enhancement using noise filtering technique
work_keys_str_mv AT supriyantoeko ultrasoundappendiximagesegmentationusinghistogramthresholdingandimageenhancementusingnoisefilteringtechnique