Experimental Study on Shape Retrieval Using QPIAL
نویسنده
چکیده
An experimental investigation on shape retrieval using Quadratic Polynomial Interpolation of Adjacent Landmarks (QPIAL), a newly proposed shape refinement method [1], is carried. Shape representation is a fundamental issue in the process of shape retrieval, a category of Content-Based Image Retrieval (CBIR). Many shape representations and shape refinement methods have been proposed. Fourier Descriptors (FD) and Curvature Scale Space Descriptors (CSSD) are widely adopted contour-based shape descriptors for shape retrieval [2]. Among the shape refinement methods, QPIAL outperforms the others [Kubota]. In this project, QPIAL is used before extracting the Fourier Descriptors. Fourier descriptors are chosen because of its simplicity and compactness. To observe the effect of shape refinement using QPIAL, a shape retrieval system using Fourier descriptors is implemented with and without refinement. To investigate the implementation, SQUID database [3] is used. Results show that the query using QPIAL retrieves more similar shapes than the query with out refinement.
منابع مشابه
A new shape retrieval method using the Group delay of the Fourier descriptors
In this paper, we introduced a new way to analyze the shape using a new Fourier based descriptor, which is the smoothed derivative of the phase of the Fourier descriptors. It is extracted from the complex boundary of the shape, and is called the smoothed group delay (SGD). The usage of SGD on the Fourier phase descriptors, allows a compact representation of the shape boundaries which is robust ...
متن کاملبازیابی مبتنی بر شکل اجسام با توصیفگرهای بدست آمده از فرآیند رشد کانتوری
In this paper, a novel shape descriptor for shape-based object retrieval is proposed. A growing process is introduced in which a contour is reconstructed from the bounding circle of the shape. In this growing process, circle points move toward the shape in normal direction until they get to the shape contour. Three different shape descriptors are extracted from this process: the first descript...
متن کاملImage Retrieval Using Dynamic Weighting of Compressed High Level Features Framework with LER Matrix
In this article, a fabulous method for database retrieval is proposed. The multi-resolution modified wavelet transform for each of image is computed and the standard deviation and average are utilized as the textural features. Then, the proposed modified bit-based color histogram and edge detectors were utilized to define the high level features. A feedback-based dynamic weighting of shap...
متن کاملAn Improved Shape Signature for Shape Representation and Image Retrieval
The Fourier Descriptor (FD) is a powerful tool for shape analysis and many signatures have been proposed to derive Fourier descriptors. These shape signatures lack of important information in articulation and part structures of complex shapes. In this study, the Inner-Centroid Distance (ICDs) signature which is based on the Centroid Distance signature and Inner-Distance is developed to overcome...
متن کاملStudying the Effect of Retrieval Direction during Reading on Productive and Receptive Knowledge of Vocabulary
Retrieval tasks provide learners with an opportunity to focus both on meaning and on form. There are four different retrieval directions. The present study aimed to identify the optimal direction of recall type retrievals during reading and to investigate the outcomes of each one. Forty-eight intermediate EFL learners took part in the study. One of the experimental groups was provided with the ...
متن کامل