texture and color features
On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection
... The ROC curves in Figures 5–7 show that satisfactory results were achieved when texture and color features are combined. The ROC curve presents graphically the statis- tics estimates of false ...
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IJCSMC, Vol. 3, Issue. 6, June 2014, pg.816 – 824 RESEARCH ARTICLE A Practical Approach for Determination of Human Gender & Age
... visual features such as color, texture and shape, as opposed to depending on image descriptions or textual ...of color and textural characteristics, and returns the images within a desired ...
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Partitioning Based Clustering Method for Image Retrieval
... demonstrates color, texture and shapes. In this paper, color and texture features are ...The color features are obtained using Dynamic Color Distribution Entropy of ...
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Color, Texture, Shape Features Based Retrieval of Emotional Scenes
... that color is one of the most important low level features used in emotion based image ...only color features to predict emotions often provide very unsatisfactory results because images with ...
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A Competent and Novel Approach of Designing an Intelligent Image Retrieval System
... image features were extracted by two techniques which are Bit Pattern Features (BPF) and Color Co-occurrence Feature ...These features were developed from the encoded data streams of ODBTC in ...
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Identification of Growth Rate of Plant based on leaf features using Digital Image Processing Techniques
... incorporates color, and texture features and uses SVM as a ...extract color features and Discrete Wavelet Transform and Fast Fourier Transform for texture features ...
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Texture Feature On Determining Quantity of Soil Organic Matter For Patchouli Plant Using Backpropagation Neural Network
... extract color features using color moment and extract texture features using the Gray Level Co-occurrence Matrix (GLCM) ...for texture analysis [11], where the advantages are in ...
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An Improved Content Based Image Retrieval Using A Multi-Scale Saliency Model
... image features from the content of image. Thus here the image features are extracted namely shape, color and ...the color features from image the color grid movement is ...image ...
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Intelligent Methodologies for Melanoma Diagnosis
... scaling color space transformation, contrast enhancement, filters, and color quantization are used for enhancing skin images in the pre-processing step ...unique features of melanoma lesion images ...
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A Survey of Cloud Computing Approaches, Business Opportunities, Risk Analysis and Solving Approaches
... to color similarities, but the authors did not provide any detail on how this is ...of color and texture features are extracted and submitted to a fuzzy classifier which, instead of outputting ...
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Content Based Image Retrieval Using Color, Texture and Hybrid Features
... image. Color is one of the most important low-level features used in most of the content based image retrieval ...only color features often provide very unsatisfactory results because in many ...
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Identification of Ayurvedic Medicinal Plants by Image Processing of leaf samples
... of texture features provides greater ...work, texture features are ...used color and shape feature for ...geometric features and shape descriptors for ...geometric ...
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IJCSMC, Vol. 4, Issue. 5, May 2015, pg.148 – 157 RESEARCH ARTICLE AN EFFICIENT CONTENT BASED IMAGE RETRIEVAL SYSTEM USING SOFT COMPUTING TECHNIQUE
... Global features include color and texture histograms and color layout of the whole ...Local features include color, texture, and shape features for sub-images, ...
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Color Directional Local Quinary Patterns for Content Based Indexing and Retrieval
... image. Texture analysis has been extensively used in CBIR systems due to its potential ...value. Texture analysis and retrieval has gained wide attention in the field of medical, industrial, document ...
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Improved Image Retrieval And Classification Using Color, Texture And Shape Features
... MPEG-7 Core Experiment. In [17], descriptors based on complex moments and spectral transforms, such as Zernike moments and Fourier descriptors, are proved to be the best choices for general shape applications. While the ...
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Title: EVALUATION OF SHAPE FEATURES FOR EFFICIENT CLASSIFICATION BASED ON ROTATIONAL INVARIANT USING TEXTON MODEL
... The proposed rotationally invariant classification method “TOFTBM using TSF” carried out the experiments on various Brick, Granite, Marble and Mosaic textures. These textures are collected from Broadtz,Vistex album, ...
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Semantic Segmentation of Aerial Images Using Fusion of Color and Texture Features
... This paper presents a semantic method for aerial image segmentation. Multi-class aerial images are often featured with large intra-class variations and inter-class similarities. Furthermore, shadows, reflections and ...
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Detection and Classification of Apple Fruit Disease using K-NN Classification and GLCM Features
... This paper presents the recent development in automatic vision-based technology. The main aim of this system is to replace the manual inspection system. This help in speed up the process improve accuracy and efficiency ...
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Cost Effective Grading Process for Grape Raisins based on HSI and Fuzzy Logic Algorithms
... As shown in Figure 1 the image based raisin grading needs system needs image acquisition equipment, image feature extraction algorithm and image classification algorithm. In this study, the webcam of 1.3 megapixel is ...
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Retrieval and Classification of Images Using Hybrid of HMMD Color Space and Naïve Bayes Classifier
... their color. This can be the rationale that color is usually wont to differentiate pictures in content-based image ...retrieval. Color is that the feature that makes the thing identification method ...
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