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- W3130143313 abstract "The image segmentation scheme is proposed in this research article. It offers the determined the certain images and grouping of images from colleague frame. In this research, the K-Means algorithm is utilized for image segmentation. The images have transformed into Gray scale images then it facilitates the extraction of clusters. The K-Means technique is based on groupings of similar pixels and allocation of the median. Repeating the same process several times provides better object identifications. This algorithm will provide you good quality output images. Object discrimination relies on the correlation of available pixels in the image. After being segmented, the image was further processed for improved visibility." @default.
- W3130143313 created "2021-03-01" @default.
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- W3130143313 date "2021-01-01" @default.
- W3130143313 modified "2023-10-14" @default.
- W3130143313 title "Efficient image segmentation and implementation of K-means clustering" @default.
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- W3130143313 doi "https://doi.org/10.1016/j.matpr.2021.01.154" @default.
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