Content Based Vector Image Retrieval using LBG Algorithm
نویسندگان
چکیده
منابع مشابه
Content Based Image Retrieval Using SVM Algorithm
Conventional content-based image retrieval (CBIR) schemes employing relevance feedback may suffer from some problems in the practical applications. First, most ordinary users would like to complete their search in a single interaction especially on the web. Second, it is time consuming and difficult to label a lot of negative examples with sufficient variety. Third, ordinary users may introduce...
متن کاملMultiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval
Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. By this algorithm, the image contour curve is evolved by Gaussian function first, and then the distance coherence vector is, respectively, extracted from the ...
متن کاملContent-Based Image Retrieval Via Vector Quantization
Image retrieval and image compression are each areas that have received considerable attention in the past. In this work, we present an approach for content-based image retrieval (CBIR) using vector quantization (VQ). Using VQ allows us to retain the image database in compressed form without any need to store additional features for image retrieval. The hope is that encoding an image with a cod...
متن کاملAutomatic Image Registration Using Improved LBG Algorithm
Image registration is the process of transforming different sets of data into one coordinate system. This paper proposed automatic image registration using improved LBG algorithm. LBG Algorithm used k-means to refine these prototypes, this paper proposed improved k-means algorithm to enhance LBG algorithm. Experimental result shows that the proposed image registration method can improve the pre...
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 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: IJARCCE
سال: 2017
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2017.6120