wavelet-based feature vectors
Document image retrieval based on texture features and similarity fusion
... a wavelet analysis technique, as a transform-based approach, are used for feature extraction and two feature vectors are obtained for every document ...two feature vectors ...
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Wavelet feature extraction based human Iris recognition
... of feature vectors for ...of feature values to form a feature vector, which was achieved by using a haar ...called feature extraction [17]. The haar wavelet is used to extract ...
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Image Retrieval Using Modified Haar Wavelet Transform and K Means Clustering
... Content Based Image Retrieval is to retrieve an image from the image database when given a query ...a feature vector for the query is ...the vectors in the feature ...
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Feature Vectors based CBIR in Spatial and Transform Domain
... Content Based Image Retrieval Techniques based on feature vectors (mean and standard deviation) in Spatial domain and Transform ...But feature extraction using Discrete Fourier ...
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Adaptive Lifting Transform for Classification of Hyperspectral Signatures
... lifting wavelet transform to extract the lower dimensional feature vectors for classification ...adaptive wavelet transform is presented ...discrete wavelet transform as a preprocessing ...
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SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES
... algorithm based on scale-invariant feature transform(SIFT) and support vector regression(SVR) is proposed in this ...input feature vectors are selected in the wavelet domain and then ...
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FPGA based IP cores implementation for face recognition using dynamic partial reconfiguration
... Abstract This paper presents a combination of novel feature vectors construction approach for face recognitionusing discrete wavelet transform DWT and field programmable gate array FPGA-[r] ...
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Power Quality Disturbance Classification Method Based on Wavelet Transform and SVM Multi class Algorithms
... as feature vectors can improve the accuracy of classification ...with wavelet transform can be an efficient method for differentiating power quality disturbance ...
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Texture Image Classification Using Visual Perceptual Texture Features and Gabor Wavelet Features
... statistics based on Gabor wavelet features are normally used to construct feature vectors for texture image ...Gabor wavelet subbands based on feature selection ...
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Performance Evaluation of Texture based Image Retrieval
... Haar Wavelet Transform for feature extraction based on texture content of the ...ten feature vectors from Haar wavelet transformation in three iterations, reduces overall time ...
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Vanishing Moments of a Wavelet System and Feature Set in Face Detection Problem for Color Images
... is wavelet decomposed, the detail coefficients capturing the edge information are considered, the approximation coefficient of the wavelet decomposed image is replaced with the sum of horizontal, vertical ...
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Content Based Retrieval of Multiple Objects
... Most of the information we use and store is in the form of images. A picture talks more than a thousand words put together [11]. Picturized information is well captured and easily analyzed by the human brain than when ...
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Multi-Label Learning with Class-Based Features Using Extended Centroid-Based Classification Technique (CCBF)
... discriminated based on identical feature representation of the ...identical feature representation is inadequate to discriminate different class labels, as different class labels in the label space ...
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ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION
... experiment. Wavelet feature based system is also compared with proposed moment based system and performed better, wavelet shown the poorer classification ...for feature ...
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Feature Scores Fusion for Chemical Class Recognition of Volatile Organic Compounds by Response Analysis of Surface Acoustic Wave Sensor Array
... of feature vectors generated with addition results the highest class recognition rate ...of feature vectors in fused space, feature vectors generated by addition perform best for ...
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Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection
... of feature engineering by combining all three domain features including statistical features in time domain and obtained higher average accuracy ...Network based BCI model proposed by Ankita Mazumder , et ...
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Wavelet Based Feature Extraction for Brain Tumour Diagnosis A Survey
... Abstract— The brain tumour is one of the major causes among human. To detect the brain tumour in earlier stages is performed by MRI. The detection of the tumour method follows pre-processing, feature extraction, ...
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BLOCK FEATURE BASED IMAGE FUSION USING MULTI WAVELET TRANSFORMS
... block feature based image fusion is implemented using multi wavelet transform and neural networks and a qualitative analysis has been done for the several test image and found better ...
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Comparison of ECG Denoising Threshold Estimators through Wavelet Packet Analysis
... in wavelet thresholding to choose an appropriate threshold value ...in wavelet thresholding. Sure shrink threshold is based on stein’s unbiased risk estimation ...also based on SURE And ...
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Wavelet based feature extraction methods for the discrimination and regression of spectral data
... 7.13 Correct classification rates CCR and quadratic probability measures QPM for thp "Wavelet based Inethods applied to the sea- grass s, mineral em, paraxylene p and butanol b data.. 15[r] ...
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