[PDF] Top 20 A Novel Algorithm for Region-Based Image Retrieval Framework

... digital image is probably the most important tools in the medicine since this is used for the diagnosis of the diseases, for drug treatment responses and also manages the diseases of patients, having very few side ... See full document

... Content Based Image Retrieval methods face several challenges while presentation of results and precision levels due to various specific ...a novel algorithm Local Tetra Pattern (LTrP) ... See full document

... representation–based image classification implementation was implemented, and the results were ...the algorithm used, the implementation on images with lesser illumination also performed better as ... See full document

... social data with new and reliable knowledge extraction models designed for multilingual and multimodal data shared on social networks. One of the aims of this project is related to give a high importance to the quality ... See full document

... vision. Image thresholding, which is a popular technique for image segmentation, is also regarded as an analytic image representation method ...video retrieval [2]. Image thresholding ... See full document

... Content based image retrieval (CBIR) is an effective method of retrieving images from large image ...a novel approach of CBIR system in which higher retrieval efficiency is ... See full document

... Search Algorithm (GSA) (Rashedi et ...approach based CBMIR is used to recognize the probable optimal resolutions within a sensible amount of time but the convergence rapidity is ...Fuzzy based PSO ... See full document

... content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the ...The image sub-blocks ... See full document

... a novel technique for content-based image retrieval based on tree ...matching. Image objects and their relations are some of the important features to match similar ...new ... See full document

... indexing, retrieval and comparing techniques collapse, due to the fact that it is not possible to well separate the data, making the process of storing, indexing and retrieving extremely time ... See full document

... a framework for registered users which are already registered and there is no need of space while ...the algorithm for registration of new user so that user can save time of licensing as we can observe in ... See full document

... Images can be numerically represented by a feature vec- tor, preferentially at a low-dimensional space in which the most relevant visual aspects are emphasized [15,16]. Visu- ally, breasts of fatty and dense densities ... See full document

... in retrieval of the necessary images from a huge ...a novel image matching scheme using Discrete Sine Transform and decision tree classification techniques for classification of the given input ... See full document

... For large-scale applications of CBIR, linear search over high-dimensional feature vectors must be avoided. Cortina [15], a large-scale image retrieval system for the World Wide Web, was reported to be able ... See full document

... A novel optical encryption method is proposed in this paper to achieve 3-D image ...encryption algorithm combines the use of computational integral imaging (CII) and linear-complemented maximum- ... See full document

... entire image follow a finite doubly truncated Gaussian mixture ...efficient image segmentation algorithm assuming that the pixel intensities of the entire image follow a finite doubly ... See full document

... on image datastores has been considered in recent ...in image recognition (Wang et ...trapdoors based on a querying image; the server extracts its colour information, performing a comparison ... See full document

... Object-Based Image Analysis) is not only a hot topic of current remote sensing and geographical ...meaningful image objects, and to assess their characteristics through spatial, spectral, textural, ... See full document

... clustering algorithm employed, parameter settings used, and other ...a novel density based k-means clustering algorithm has been proposed to overcome the drawbacks of DBSCAN and kmeans ... See full document

... The retrieval was then run on these data using a bi-modal aerosol class consisting of two log-normal sea-salt distributions (with the second mode being defined from the OPAC coarse mode sea-salt compo- ...this ... See full document