Local Derivative Patterns and their Magnitudes for Content Based Image Retrieval
نویسندگان
چکیده
This paper presents a new image indexing and retrieval algorithm by considering the magnitudes of the local derivative patterns (LDPs). LDP extract the high-order local information by encoding various distinctive spatial relationships contained in a given local region. Two experiments have been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiments are Corel 1000 database (DB1), and MIT VisTex database (DB2). The results after being investigated shows a significant improvement in terms of their evaluation measures as compared to LBP, LDP and other existing transform domain techniques. Keywords— Local Derivative Patterns; Feature Extraction; Local Binary Patterns; Image Retrieval.
منابع مشابه
A Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
متن کاملA Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
متن کاملContent Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram
Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a database. In medical applications, CBIR is a tool used by physicians to compare the previous and current medical images associated with patients pathological conditions. As the volume of pictorial information stored in medical image databases is in progress, efficient image indexing and retri...
متن کاملContent Based Image Retrieval Using Local Derivative Patterns
A new image indexing and retrieval algorithm known as local derivative pattern (LDP_16_2) is proposed in this work. LDP_16_2 histograms are used as features of each image in the data base. LDP_16_2 encodes the higher order derivative information which contains more detailed discriminative features. This property made it a powerful tool for feature extraction of images in the data base. Improved...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کامل