MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541125236 A) filed by B V Raju Institute Of Technology, Narsapur, Telangana, on Dec. 11, 2025, for 'semi-automated brain tumor segmentation using thresholding and morphological processing with real-time opencv gui-control.'
Inventor(s) include Surajit Das; Naathi Usharani; Abhay Kumar; Gudupalli Sravya; and Gundabattina Vindu Priya.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present invention describes a semi-automated system for the purpose of brain tumor segmentation from MRI images by using global intensity thresholding along with morphological image processing and an OpenCV-based real-time graphical user interface. It allows dynamic threshold adjustment by using user-controlled sliders, thus allowing immediate visual feedback and interactive refinement of the segmentation process. Further refinement in mask quality is achieved by morphological operations of closing and opening for noise removal, filling gaps, and thus improving regional connectivity. Contour analysis is subsequently used to identify and extract the largest connected component to create an accurate binary tumor mask. Additionally, the tumor area is quantitatively estimated using information about pixel spacing, automatically recording image identifiers, threshold values, and computed tumor areas in a structured CSV file. When ground-truth masks are available, an optional evaluation module calculates standard segmentation metrics: the Dice Coefficient, Jaccard Index, Precision, and Recall. The present invention proposes a lightweight, explainable, and resource-efficient solution that is suitable for clinical screening, data annotation, and research workflows, particularly in low-resource environments."
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