Invention Grant
- Patent Title: Architecture and method for maximally stable extremal regions (MSERs)-based exudates detection in fundus images for diabetic retinopathy
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Application No.: US15497302Application Date: 2017-04-26
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Publication No.: US10456027B2Publication Date: 2019-10-29
- Inventor: Ehab Najeh Salahat , Hani Hasan Mustafa Saleh , Andrzej Stefan Sluzek , Mahmoud Al-Qutayri , Baker Mohammad , Mohammed Ismail Elnaggar
- Applicant: Khalifa University of Science and Technology
- Applicant Address: AE Abu Dhabi
- Assignee: Khalifa University of Science and Technology
- Current Assignee: Khalifa University of Science and Technology
- Current Assignee Address: AE Abu Dhabi
- Agency: Withrow & Terranova, P.L.L.C.
- Main IPC: A61B3/00
- IPC: A61B3/00 ; A61B3/12 ; G06T7/00 ; G06T7/60 ; G06T7/62

Abstract:
Architecture and a method for maximally stable extremal regions (MSERs)-based detection of exudates in an ocular fundus is disclosed. The architecture includes a communication interface to receive pixels of an ocular fundus image. The architecture further includes processing circuitry that is coupled to the communication interface. The processing circuitry is configured to automatically provide labels for light image regions and dark image regions within the ocular fundus image for a given intensity threshold and find MSERs within the ocular fundus image based on the labels. The architecture also determines MSER regions based on the MSER criteria and then highlights the pixels of the ocular fundus image that are located within MSER regions to indicate the exudates in the ocular fundus. The architecture is further configured to determine MSER ellipses parameters based on MSER regions and MSER criteria and then highlight the locations of the exudates in the ocular fundus.
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