Image Features
Computer aided differential diagnosis system for Alzheimer’s disease based on machine learning with functional and morphological image features in magnetic resonance imaging
... functional image features, re- spectively, could be decreased in specific cerebral re- gions of patients with dementia of Alzheimer ...functional image features derived from a magnetic ...
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Remote Sensing Image Registration Using Multiple Image Features
... sensing image registration plays an important role in military and civilian fields, such as natural disaster damage assessment, military damage assessment and ground targets identification, ...sensing image ...
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Content Based Image Retrieval Using Combined Gabor and Image Features
... of image data on the internet has spurred the demand for methods and tools for efficient search and ...Based Image Retrieval (CBIR) is a technique that uses visual contents such as color, shape, texture, ...
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Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
... against image processing and geometric ...noticeable image distortion, watermark embedding by adaptive spreading of the watermark signal in the frequency domain, and extraction of relevant information ...
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Annotated Image search: Annotated Image Search using Text and Image Features
... large-scale image retrieval system for the World Wide Web, was reported to be able to handle over 3 million ...visual features were extracted from the images and stored in another ...
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Target Localization Based on Invariant Image Features
... There are many ways to detect interest point in the image. The most widely used detector probably is the Harris corner detector[2], proposed back in 1988, based on the eigenvalues of the second-moment matrix. ...
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Self-feedback image retrieval algorithm based on annular color moments
... most image retrieval systems are based on low-level visual features (such as color and texture), and the retrieval process is computer-centric, which makes its retrieval performance ...visual ...
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A Comparative Study on CT Image Segmentation Using FCM-based Clustering Methods
... automatic image segmentation. However, clustering results vary with the features of image pixels and the settings of parameters of the clustering ...CT image segmentation using FCM- based ...
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Image Retrieval Based on Fused CNN Features
... VGGNet model. VGG increases the depth of the original architecture [2] to 16-19 layers, which is substantially deeper than what has been used in the prior art. To reduce the number of parameters in such deep networks, ...
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A Study of Different Features and Classification of Histophathological Image
... various Image Features and various classification techniques with advantages and disadvantages would give satisfactory results and help patient and pathologist for proper diagnosis of breast cancer and ...
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Combined Approach for Video Shot Boundary Detection with Monoslam and Image Quality Based Features
... 1) Features Extraction: Image features are initially found in the image by searching for salient image regions using RANSAC algorithm. Random Sample Consensus (RANSAC) has become one of ...
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Retrieval and Classification of Images Using Hybrid of HMMD Color Space and Naïve Bayes Classifier
... of image features, textures and color has become one of the most researched areas in the field of computer ...the features are being ...content-based image retrieval in applications such as ...
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Image retrieval based on hybrid features
... In image retrieval systems, a client puts forward a query image to the ...the image features such as shape, texture, or color depending on the type of CBIR model ...These image ...
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Enhancement of Underwater Image using Fuzzy Histogram Equalization
... the image contrast maybe extremely high ...the image features on the other hand, backscattering generally limits the contrast of the images [3, ...
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Offline Handwritten Word Recognition using Multiple Features with SVM Classifier for Holistic Approach
... segmentation, features extraction and ...document image for gray scale conversion, normalization, binarization, baseline detection, skew correction, slant detection, slant correction, noise removal and ...
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On a Methodology for Detecting Diabetic Presence from Iris Image Analysis
... The image is first processed in order to extract the features, which describe and ...objects. Image pre-processing is the name for operations on images at the lowest level of abstraction whose aim is ...
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A Novel Method for Content Based Image Retrieval using Local Features and SVM Classifier
... Content-Based Image Retrieval (CBIR) systems were introduced to address the problems associated with text- based image ...an image database based on automatically-derived image ...during ...
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TEXTURE PATTERN IN ABNORMAL MAMMOGRAMS CLASSIFICATION USING SUPERVISED MACHINE LEARNING TECHNIQUES
... based image retrieval to extract audio features and the face image features in the video ...based image retrieval system using similarity by applying weighted feature ...visual ...
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Image Mediated Learning for Zero Shot Cross Lingual Document Retrieval
... of image features in our framework (see Figure 5 and Table ...different features extracted from GoogLeNet (Szegedy et ...hand-crafted image fea- ture before deep learning. We extracted ...
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Detection and Classification of Normal and Abnormal Heart Diseases Using SIFT and SVM
... of image and speech processing, and ...of image and video processing. His research interest includes image and video processing, pattern classification and neural ...
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