کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
391699 661932 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Illumination-insensitive texture discrimination based on illumination compensation and enhancement
ترجمه فارسی عنوان
تبعیض بافت نور سنجی بر اساس جبران نور و افزایش آن
کلمات کلیدی
جبران نور افزایش نور، ماتریس اثر نورپردازی، بافت نور غیر حساس
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

As the appearance of a 3D surface texture is strongly dependent on the illumination direction, 3D surface-texture classification methods need to employ multiple training images captured under a variety of illumination conditions for each class. Texture images under different illumination conditions and directions still present a challenge for texture-image retrieval and classification. This paper proposes an efficient method for illumination-insensitive texture discrimination based on illumination compensation and enhancement. Features extracted from an illumination-compensated or -enhanced texture are insensitive to illumination variation; this can improve the performance for texture classification. The proposed scheme learns the average illumination-effect matrix for image representation under changing illumination so as to compensate or enhance images and to eliminate the effect of different and uneven illuminations while retaining the intrinsic properties of the surfaces. The advantage of our method is that the assumption of a single-point light source is not required, so it circumvents and overcomes the limitations of the Lambertian model and is also suitable for outdoor settings. We use a wide range of textures in the PhoTex database in our experiments to evaluate the performance of the proposed method. Experimental results demonstrate the effectiveness of our proposed methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 269, 10 June 2014, Pages 60–72
نویسندگان
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