کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
387139 | 660896 | 2010 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Integrating spatial and color information in images using a statistical framework
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Color histograms have been widely used successfully in many computer vision and image processing applications. However, they do not include any spatial information. In this paper, we propose a statistical model to integrate both color and spatial information. Our model is based on finite multiple-Bernoulli mixtures. For the estimation of the model’s parameters, we use a maximum a posteriori (MAP) approach through deterministic annealing expectation maximization (DAEM). Smoothing priors on the components parameters are introduced to stabilize the estimation. The selection of the number of clusters is based on stochastic complexity. The results show that our model achieves good performance in some image classification problems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 37, Issue 2, March 2010, Pages 1542–1549
Journal: Expert Systems with Applications - Volume 37, Issue 2, March 2010, Pages 1542–1549
نویسندگان
Nizar Bouguila, Walid ElGuebaly,