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Segmenting infected region of rice blast disease in digital images using K-means clustering and OTSU's thresholding method / Kae Anne A. Alonzo, Norlyn E. Cabanit, and Ronan N. Revilla

By: Alonzo, Kae Anne AMaterial type: TextTextPublication details: City of Batac : MMSU, 2019Description: xi, 43 leaves ; 28 cm
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Item type Home library Shelving location Call number Status Notes Date due Barcode
Thesis/Dissertation MMSU Main Library
Theses and Dissertation Section Available Room Use Only UTHESIS-5902

Thesis (BS in Computer Science) -- Mariano Marcos State University - College of Computing and Information Sciences, City of Batac, 2019.

Bibliography: leaves 25-27

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