Scene Categorization Based on Extended Color Descriptors
نویسندگان
چکیده
منابع مشابه
Color Independent Components Based SIFT Descriptors for Object/Scene Classification
In this paper, we present a novel color independent components based SIFT descriptor (termed CIC-SIFT) for object/scene classification. We first learn an efficient color transformation matrix based on independent component analysis (ICA), which is adaptive to each category in a database. The ICA-based color transformation can enhance contrast between the objects and the background in an image. ...
متن کاملColor CENTRIST: Embedding color information in scene categorization
A new color descriptor has now been proposed to embed color information into the framework of CENsus Transform histogram (CENTRIST), so that such a state-of-the-art visual descriptor can be further improved to categorize image scenes. In the proposed color CENTRIST descriptor, global structure characteristics are described by both gradients derived from intensity values and color variations bet...
متن کاملNew image descriptors based on color, texture, shape, and wavelets for object and scene image classification
This paper presents new image descriptors based on color, texture, shape, and wavelets for object and scene image classification. First, a new three Dimensional Local Binary Patterns (3D-LBP) descriptor, which produces three new color images, is proposed for encoding both color and texture information of an image. The 3D-LBP images together with the original color image then undergo the Haar wa...
متن کاملColor texture analysis based on fractal descriptors
Color texture classification is an important step in image segmentation and recognition. The color information is especially important in textures of natural scenes, such as leaves surfaces, terrains models, etc. In this paper, we propose a novel approach based on the fractal dimension for color texture analysis. The proposed approach investigates the complexity in R, G and B color channels to ...
متن کاملGabor-Based Novel Color Descriptors for Object and Scene Image Classification
This paper presents several novel Gabor-based color descriptors for object and scene image classification. Firstly, a new Gabor-HOG descriptor is proposed for image feature extraction. Secondly, the Gabor-LBP descriptor derived by concatenating the Local Binary Patterns (LBP) histograms of all the component images produced by applying Gabor filters is integrated with the Gabor-HOG using an opti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SPIIRAS Proceedings
سال: 2015
ISSN: 2078-9599,2078-9181
DOI: 10.15622/sp.40.13