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23 articles for “texture segmentation”
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Boundary Localization of Optic Disc using Pixel Level Deviation in Retinal Fundus Image
Abstract: In automated computer-aided diagnosis (CAD) approach for Diabetic retinopathy (DR) detection and monitoring, optic disc (OD) localization is the first and fundamental task for further processing of retinal fundus image. Identification of OD area is complex, as it attains the similar pathological blood vessels characteristics such as intensity variations and texture pattern. This paper presents a simple approach for the outer boundary localization of OD based on pixel level variations, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 2, 2018 · pp. 14–18 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Production and Analysis of Alternative of Dairy Milk and its By-product
Abstract: Plant-based or non-dairy milk alternative is the fast-growing segment in newer food product development category of functional and specialty beverage across the globe. Nowadays, cow milk allergy, lactose intolerance, concern about calorie, and hypercholesterolemia inclination towards vegan diets has influenced a segment of consumers towards choosing dairy milk alternatives. Plant-based milk alternative can serve as an inexpensive alternative to consumers especially in the developing countries and in places where dairy …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 10, Issue 2, 2021 · pp. 27–41 Read article