摘要
A novel multi level image segmentation methodology is been proposed with the aim of extracting the salient object,keeping in view,only a small part of the visual scene undergoes attention and reaches the level of awareness while rest of details are futile.Taking advantage of multilevel gray scale quantization,image prominent object is separated from background,keeping in view the fact;salient object is having high contrast as compared to the background.The inutile fragments were removed using morphological operations of opening and closing and making the image smoothened with Gaussian filter.The optimum threshold is selected for the binary conversion and final extrication of the salient object from the image.The experimental data indicates that hybrid approach leads to improved segmentation with the apparent assertion of prime object extraction.
A novel multi level image segmentation methodology is been proposed with the aim of extracting the salient object, keeping in view, only a small part of the visual scene undergoes at- tention and reaches the level of awareness while rest of details are futile. Taking advantage of multilevel gray scale quantization, image prominent object is separated from background, keeping in view the fact; salient object is having high contrast as compared to the background. The inutile fragments were removed using morphological operations of opening and closing and making the image smoothened with Gaussian filter. The optimum threshold is selected for the binary conversion and final extrication of the salient object from the image. The experimental data indicates that hybrid approach leads to improved segmentation with the apparent assertion of prime object extraction.
出处
《机床与液压》
北大核心
2013年第12期1-5,共5页
Machine Tool & Hydraulics
关键词
机床
制造工艺
金属压力加工
设计
gray scale quantization, image segmentation, object extraction, Gaussian smoothing
