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Nowadays, content-based image-retrieval techniques constitute powerful tools for archiving and mining of large remote sensing image databases. High spatial resolution images are complex and differ widely in their content, even in the same category. All images are more or less textured and structured. If the image to recognize is somewhat or very structured, a shape feature will be somewhat or very...
Accurate character recognition is still very important for camera based printed document analysis. Due to its inherent conceptual and technical simplicity, conventional recognition strategies relied on features extracted using square block zoning of a character image. In this paper, we propose an isotropic feature extraction method using regular hexagonal zoning and confirm its effectiveness by printed...
Principal component analysis (PCA) is used in diverse settings for dimensionality reduction. If data elements are all the same size, there are many approaches to estimating the PCA decomposition of the dataset. However, many datasets contain elements of different sizes that must be coerced into a fixed size before analysis. Such approaches introduce errors into the resulting PCA decomposition. We...
In this article, we propose an objective method to evaluate stroke-width measures. With this aim, we discuss the relevance of features based on the stroke width for document analysis. Then, we point out that most of the consulted references have a vague definition of stroke width. Because of this, we propose a formal definition of the stroke-width and remark the linearity of the stroke-width as an...
Segmenting road regions from high resolution aerial images is an important yet challenging task due to large variations on road surfaces. This paper presents a simple and effective method that accurately segments road regions with a weak supervision provided by road vector data, which are publicly available. The method is based on the observation that in aerial images road edges tend to have more...
Texture analysis and classification plays an important role in many computer vision systems and applications. Local binary patterns (LBP) form a simple yet powerful texture descriptor characterising local neighbourhood properties, which, due to its effectiveness and robustness, is widely used. LBP descriptors can also be recorded at different radii leading to multi-scale features. While in conventional...
A new method of non-rigid image registration is proposed in this paper. The algorithm uses the local spatial intensity histograms to design a new type of attribute vector for each point in an intensity image and also uses the Newton's action-reaction law method form a symmetric relationship, which tends to improve the registration by establishing symmetric image interdependence. The new energy function...
In this paper we introduce a compressed domain texture retrieval method for I-frame coded pictures in the H.264 standard and study its robustness against the image and coding parameter changes. The proposed image retrieval method uses the intra mode prediction histogram of the I-frame coded pictures as the feature vector. The simulation results show that this is a very efficient compressed domain...
This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. Numerous works for skin color segmentation and detection have...
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