A review on: Discontinuity and similarity based segmentation methods
- Autores: Kalaiyarasi Alagumani, Perumal Balasubramani, Perumal Balasubramani
- Localización: Sustainable development in engineering and technology, 2022, ISBN 978-84-124943-4-1, págs. 49-60
- Idioma: inglés
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Resumen
Digital Image Processing (DIP) is an indispensable jobin numerous appliances to recoveressential data from the original input image such that, it has not influenceddifferent attributes of the image. Image segmentation (IS) is one of the most significantactions in IP which is utilized to segment the image into a few separate subsetswith the end goal that, every subset relates to an eloquent fragment of the image.The objective of image partitioning is, to group pixels into striking image locales comparingto distinct exteriors, substances, or usual parts of substances. With the developingresearch on IS, numerous strategies had been proposed and translated in anunexpected way towards content investigation and image understanding for variousapplications. Therefore, an organized review on IS techniques is important, and thispaper gives a survey on different IS techniques that are generally based on discontinuityand similarity attributes that are used to segment the original image.
