Abstract
A wide variety of techniques are used for image segmentation [29, 35, 36, 55]. They include edge detection [20], region splitting [49, 50, 53], region merging [36, 55], clustering [19, 46], surface fitting [55], rule-based expert systems [47], relaxation [4, 6, 8, 9, 55], and integrated techniques [27, 35, 39, 55]. In this chapter, we first briefly discuss techniques based on edge detection, and region splitting and region growing, and then present the details of the Phoenix image segmentation algorithm [41, 61] that has been used in this research.
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© 1994 Springer Science+Business Media New York
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Bhanu, B., Lee, S. (1994). Image segmentation Techniques. In: Genetic Learning for Adaptive Image Segmentation. The Springer International Series in Engineering and Computer Science, vol 287. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2774-9_2
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DOI: https://doi.org/10.1007/978-1-4615-2774-9_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6198-5
Online ISBN: 978-1-4615-2774-9
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