Segmentation of Noisy Binary Images Containing Irregular Shaped Objects using Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Segmentation of Noisy Binary Images Containing Irregular Shaped Objects using Genetic Algorithm
Segmentation is one of the most important steps in image analysis. Image segmentation is the process of separating the foreground objects from the background. The earlier techniques use Genetic Algorithms (GAs) to separate the images containing regular, circular and elliptical-shaped objects from the background. The proposed technique uses the GA to segment the images containing irregular shape...
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A segmentation technique basically divides the spatial domain, on which the image is defined in ‘meaningful’ parts or regions. The current approaches involving Genetic Algorithms (GAs) segment the regular-shaped images. In the proposed method, this drawback is overcome by applying GA to images containing circular and elliptical objects. The GA generated the initial population set randomly where...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/12534-9220