کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
405729 678018 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Saliency detection by selective color features
ترجمه فارسی عنوان
تشخیص حساسیت با ویژگی های رنگی انتخابی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

This paper is concerned with selective color feature for detecting salient regions. In contrast to most existing methods related to detection in one color space, the proposed algorithm pre-segments the input image into superpixels in both RGBY color space and Lab color space. Next, to calculate color contrast we not only consider the local feature, but also compute the difference between the pixel and the whole image. In the meanwhile, based on the center-surrounding scheme, a new computational model of color distribution features is presented to detect salient regions. Finally, 2D entropy is employed as an evaluation criterion to select and integrate the proper color features. Experimental results show that the proposed method outperforms the state-of-the-art methods on salient region detection.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 203, 26 August 2016, Pages 34–40
نویسندگان
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