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- W4251023885 abstract "Image segmentation is the process of partitioning a digital image into multiple segments (super pixels). Segmentation is typically used to locate objects and boundaries in images. The result of segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image. Each of the pixels in a region is similar with respect to some characteristic or computed property. Adjacent regions are significantly different with respect to the same characteristics. A predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image is defined. An important characteristic of the method is its ability to preserve detail in low-variability image regions and ignoring detail in high variability regions. This chapter discuss basic aspects of segmentation and an application and presents a detailed assessment on different methods in image segmentation and discusses a case study on it." @default.
- W4251023885 created "2022-05-12" @default.
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- W4251023885 date "2018-01-01" @default.
- W4251023885 modified "2023-10-16" @default.
- W4251023885 title "Theoretical Concepts and Technical Aspects on Image Segmentation" @default.
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- W4251023885 doi "https://doi.org/10.4018/978-1-5225-5204-8.ch102" @default.
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