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Color and texture features

Automatic Wood Classification using a Novel Color Texture Features

Automatic Wood Classification using a Novel Color Texture Features

... employing color and texture features to diagnose the melanoma in dermoscopy ...with texture features to develop a new color texture analysis method in medicine ...based ...

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Content-Based Image Retrieval Based on Texture and Color Combinations Using Tamura Texture Features and Gabor Texture Methods

Content-Based Image Retrieval Based on Texture and Color Combinations Using Tamura Texture Features and Gabor Texture Methods

... using texture and color information from image training to present the results both in query testing and database training using Tamura texture method features Gabor texture ...Tamura ...

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Semantic Segmentation of Aerial Images Using Fusion of Color and Texture Features

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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A Study of the Effect of Color Quantization Schemes for Different Color Spaces on Content based Image Retrieval

A Study of the Effect of Color Quantization Schemes for Different Color Spaces on Content based Image Retrieval

... spaces, color histograms, histogram distance measurements, size and quantization play an important role in retrieving images based on ...of color quantization schemes for different color spaces (HSV, ...

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A Survey of Cloud Computing Approaches, Business Opportunities, Risk Analysis and Solving Approaches

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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Partitioning Based Clustering Method for Image Retrieval

Partitioning Based Clustering Method for Image Retrieval

... some features such as color, texture, shape ...to color, texture and shapes. In this system, color and texture features are retrieved from ...The color ...

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IMAGE RETIEVAL COLOR, SHAPE AND TEXTURE FEATURES USING CONTENT BASED

IMAGE RETIEVAL COLOR, SHAPE AND TEXTURE FEATURES USING CONTENT BASED

... pixel color information for color feature and the gray-level of pixel information for shape ...from color and shape. Extract process of color information show up the progress that transfers ...

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Identification of Growth Rate of Plant based on leaf features using Digital Image Processing Techniques

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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Automated Guava Classification Technique using Artificial Neural Network and Artificial Ant ColonyRaed Qaqish ORCID: 0000 0003 2317 6183

Automated Guava Classification Technique using Artificial Neural Network and Artificial Ant ColonyRaed Qaqish ORCID: 0000 0003 2317 6183

... On the other hand, the AAC technique had been suggested within this study to classify the Guava fruit. The suggested study used the color and texture features to perform the categorization process. ...

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CONTENT BASED IMAGE RETRIEVAL USING DOMINANT COLOR, TEXTURE AND SHAPE

CONTENT BASED IMAGE RETRIEVAL USING DOMINANT COLOR, TEXTURE AND SHAPE

... certain features. Color, texture and shape are three important visual features of an ...dominant color, texture and shape features of an ...dominant color. ...

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Cost Effective Grading Process for Grape Raisins based on HSI and Fuzzy Logic Algorithms

Cost Effective Grading Process for Grape Raisins based on HSI and Fuzzy Logic Algorithms

... on color and shape features for data mining of these different classifiers used ANNs, SVMs, DTs and ...of color and texture features for classification of ...HIS color space is ...

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Content Based Image Retrieval Using Color, Texture and Hybrid Features

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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IJCSMC, Vol. 4, Issue. 5, May 2015, pg.148 – 157 RESEARCH ARTICLE AN EFFICIENT CONTENT BASED IMAGE RETRIEVAL SYSTEM USING SOFT COMPUTING TECHNIQUE

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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Title: Content Based Image Retrieval using Haar Wavelet to Extracted Color Histogram and Texture Features

Title: Content Based Image Retrieval using Haar Wavelet to Extracted Color Histogram and Texture Features

... The Content Based Image Retrieval has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by content. In this paper, wavelet transform has ...

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Content Based Image Retrieval using Color, Multi Dimensional Texture and Edge Orientation

Content Based Image Retrieval using Color, Multi Dimensional Texture and Edge Orientation

... homogenous texture includes different colors based on many objects present in the same image using various tools such as polygonal, rectangle, circle selector ...global color feature and texture ...

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Color Directional Local Quinary Patterns for Content Based Indexing and Retrieval

Color Directional Local Quinary Patterns for Content Based Indexing and Retrieval

... evaluationary color-texture descriptor namely Color Directional Local Quinary Pattern (CDLQP) is proposed for image retrieval ...the texture features from individual R, G and B ...

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Content-Based Image Retrieval Using Multiple Features

Content-Based Image Retrieval Using Multiple Features

... The texture changes are affected by the light ...HSV color space is the color of the ...preliminary color character- istics screening, the use of the texture fea- tures is better than ...

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Texture Feature On Determining Quantity of Soil Organic Matter For Patchouli Plant Using Backpropagation Neural Network

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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Intelligent Methodologies for Melanoma Diagnosis
                 

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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Retrieval and Classification of Images Using Hybrid of HMMD Color Space and Naïve Bayes Classifier

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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