Content based Image Retrieval using Global Correlation Vector and Zernike Moments
نویسندگان
چکیده
منابع مشابه
Local Zernike Moments Vector for Content-Based Queries in Image Data Base
Invariance to photometric changes is implicitly required for a view-based object recognition sysThe definition of reliable local signal characteritem. zations is of great importance for many computer vision tasks as mosai'cing, 3D-scene reconstruction or more recently in applications like content-based image retrieval systems. The following study concerns this last general pattern. Aiming a t t...
متن کاملContent Based Image Retrieval Using Exact Legendre Moments and Support Vector Machine
Content Based Image Retrieval (CBIR) systems based on shape using invariant image moments, viz., Moment Invariants (MI) and Zernike Moments (ZM) are available in the literature. MI and ZM are good at representing the shape features of an image. However, non-orthogonality of MI and poor reconstruction of ZM restrict their application in CBIR. Therefore, an efficient and orthogonal moment based C...
متن کاملContent-based image retrieval using Legendre chromaticity distribution moments
It is a well-known fact that the direct storing and comparison of the histogram for the purpose of content-based image retrieval (CBIR) is inefficient in terms of memory space and query processing time. It is shown that the set of Legendre chromaticity distribution moments (LCDM) provides a compact, fixed-length and computation effective representation of the colour contents of an image. Only a...
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 کاملInvariant texture retrieval using modified Zernike moments
This paper presents an effective texture descriptor invariant to translation, scaling, and rotation for texture-based image retrieval applications. In order to find the minimal matching distance between two descriptors, existing frequency-layout descriptors require a lot of distance calculations with every possible combination of scaling and rotation values because they are not invariant to geo...
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: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9is1/107922