Embedding neural networks for semantic association in content based image retrieval
Content based image retrieval (CBIR) systems provide potential solution of retrieving
semantically similar images from large image repositories against any query image. The …
semantically similar images from large image repositories against any query image. The …
Dominant gray level based K-means algorithm for MRI images
GR Nitta, T Sravani, S Nitta, BA Muthu - Health and Technology, 2020 - Springer
Image segmentation is the significant tasks in maximum medical diagnosis tools. In recent
years, perfect segmentation of medical images is of the great challenging issue. Maximum …
years, perfect segmentation of medical images is of the great challenging issue. Maximum …
Categorical image retrieval through genetically optimized support vector machines (GOSVM) and hybrid texture features
Content-based image retrieval (CBIR) systems provide a potential solutions of retrieving
semantically similar images from large image repositories against any query image. The …
semantically similar images from large image repositories against any query image. The …
[PDF][PDF] IHBM: integrated histogram bin matching for similarity measures of color image retrieval
JNT Gudlavalleru, DNCR Palwal - International Journal of Signal …, 2009 - Citeseer
The selection of “proper similarity measure” of color histograms is an essential consideration
for the success of many methods. The Histogram Quadratic Distance Measure (HQDM) is a …
for the success of many methods. The Histogram Quadratic Distance Measure (HQDM) is a …
Content based image retrieval in a web 3.0 environment
With the dramatic growth of Internet and multimedia applications, a virtually free worldwide
digital distribution infrastructure has emerged. The concept of intelligent web or web 3.0 …
digital distribution infrastructure has emerged. The concept of intelligent web or web 3.0 …
Segmentation of lungs from chest X rays using firefly optimized fuzzy C-means and level set algorithm
Segmentation of lungs from chest x ray is a non trivial task required as a preprocessing step
for detection of different diseases like cardiomelagy, tuberculosis, pneumonia. High …
for detection of different diseases like cardiomelagy, tuberculosis, pneumonia. High …
Combined feature descriptor for content based image retrieval
S Selvarajah, SR Kodithuwakku - 2011 6th International …, 2011 - ieeexplore.ieee.org
Content based Image Retrieval (CBIR) allows automatically extracting target images
according to objective visual contents of the image itself. Representation of visual features …
according to objective visual contents of the image itself. Representation of visual features …
[PDF][PDF] HAAR wavelet transform for solution of image retrieval
An efficient algorithm based Haar Wavelet approach for image retrieval solution, is
proposed. This method is applicable for different kinds of image extraction features. Wavelet …
proposed. This method is applicable for different kinds of image extraction features. Wavelet …
Color histogram and first order statistics for content based image retrieval
Abstract Content Based Image Retrieval (CBIR) is one of the fastest growing research areas
in the domain of multimedia. Due to the increase in digital contents these days, users are …
in the domain of multimedia. Due to the increase in digital contents these days, users are …
Semantic image retrieval in a grid computing environment using support vector machines
In this paper, we propose a multiple support vector machine-based architecture for content-
based image retrieval (CBIR) in a grid computing environment. In order to maximize the …
based image retrieval (CBIR) in a grid computing environment. In order to maximize the …