- Patent Title: Thresholding methods for lesion segmentation in dermoscopy images
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Application No.: US15785232Application Date: 2017-10-16
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Publication No.: US10531825B2Publication Date: 2020-01-14
- Inventor: Ravneet Kaur , William Van Dover Stoecker , Nabin K. Mishra , Reda Kasmi
- Applicant: Ravneet Kaur , William Van Dover Stoecker , Nabin K. Mishra , Reda Kasmi
- Applicant Address: US MO Rolla
- Assignee: Stoecker & Associates, LLC
- Current Assignee: Stoecker & Associates, LLC
- Current Assignee Address: US MO Rolla
- Agency: Faegre Baker Daniels LLP
- Main IPC: A61B5/00
- IPC: A61B5/00 ; G06T7/136 ; G06T7/00 ; G06T7/11

Abstract:
Systems and methods facilitate segmenting a dermoscopy image of a lesion to facilitate classification of the lesion. A dermoscopy image is received from an image source; pre-processed; and segmented. Segmenting the pre-processed dermoscopy image includes applying a thresholding algorithm to the dermoscopy image. The thresholding algorithm includes at least one of a Huang auto-thresholding algorithm, a Li auto-thresholding algorithm, a Shanbhag auto-thresholding algorithm, an Otsu auto-thresholding algorithm, or an Isodata thresholding algorithm. A weighted border error metric is provided to allow prediction of whether segmentation is likely to avoid excluding portions of the lesion. A test is provided for determination of whether image inversion is needed for the methods to provide optimal borders. An iterative expansion algorithm is provided to for determine whether expansion is needed for the methods to provide optimal borders and to determine the degree of expansion needed for more inclusive segmentation.
Public/Granted literature
- US20180103892A1 THRESHOLDING METHODS FOR LESION SEGMENTATION IN DERMOSCOPY IMAGES Public/Granted day:2018-04-19
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