Content-Based Image Retrieval (CBIR) is one of the most active hot spots in the current research field of multimedia retrieval. According to the description and extraction of visual content (feature) of the image, CBIR aims to find images that contain specified content (feature) in the image database. In this paper, several key technologies of CBIR, e. g. the extraction of the color and texture...

Based on the feature matching theory about SIFT (Scale-Invariant Feature Transform) keypoints, the concentric circle structure and the color feature vector of scale-invariant descriptor are proposed in this paper. In the concentric circle structure, the radiuses of the concentric circles are proportional to the scale factor, which can achieve the scale invariance. To achieve the rotation invari...

In this paper, a method for indoor and outdoor scene classification is proposed based on the spectrum information of Fourier transform. Firstly, the image is divided into five partitions. The color, texture, and spectral information of each partition are extracted as feature vector. Each partition has a separate image feature vectors, so the image can be represented by this set of features. For...

background: electromyographic (emg) signal decomposition is the process by which an emg signal is decomposed into its constituent motor unit potential trains (mupts). a major step in emg decomposition is feature extraction in which each detected motor unit potential (mup) is represented by a feature vector. as with any other pattern recognition system, feature extraction has a significant impac...

Email: [email protected] [email protected] Abstract: Content-Based Image Retrieval (CBIR) has received an extensive attention from researchers due to the rapid growing and widespread of image databases. Despite the massive research efforts consumed for CBIR, the completely satisfactory results have not yet been attained. In this article, we offer a new CBIR technique that relies on extracting...

Content based image retrieval (CBIR) has been possibly the greatest significant enquiry areas in computer science for the last decade. A retrieval way which mix texture, color and shape feature is future in this paper. In this research, implemented a novel method for CBIR using Hough Transform ,DCD and DWT feature with Support vector machine (SVM) as a classifier. In the process of feature extr...

A hierarchical framework to perform automatic categorization and reorientation of consumer images based on their content is presented. Sometimes the consumer rotates the camera while taking the photographs but the user has to later correct the orientation manually. The present system works in such cases; it first categorizes consumer images in a rotation invariant fashion and then detects their...

This paper presents a novel image retrieval system (SVMBIR) based on dual tree complex wavelet transform (CWT) and support vector machines (SVM). We have shown how one can improve the performance of image retrieval systems by assuming two attributes. Firstly, images that a user needs through query image are similar to a group of images with the same conception. Secondly, there exists non-linear...

Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs). A major step in EMG decomposition is feature extraction in which each detected motor unit potential (MUP) is represented by a feature vector. As with any other pattern recognition system, feature extraction has a significant impac...