spatial gray-level images
Application of texture analysis in echocardiography images for myocardial infarction tissue
... echocardiography images in this research are used for diagnosis of myocardial infarction ...the spatial distribution of ultrasound amplitude signal within a region of interest ...two-dimensional ...
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Enhancement Techniques for Gray scale Images in Spatial Domain
... than gray levels. Grayscale images can be artificially colored by using a proper color map ...to gray level values of pixel based on specified ...
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Image Segmentation Based On FUZZY GLSC Histogram With Dynamic Similarity Discrimination Factor
... different images having same no of pixels in each intensity level with different pixel ...The Gray Level Spatial Correlation (GLSC) histogram which takes in to account the ...
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Automatic detection of multiple oriented blood vessels in retinal images
... retinal images is important in the detection of diabetic reti- nopathy that affects the morphology of the blood ves- sel ...retinal images is ...on gray level co-occurrence matrix as it takes ...
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Image Segmentation based on FUZZY GLSC Histogram with Dynamic Similarity Discrimination Factor
... of images since it considers only local properties of image. The Gray Level Spatial Correlation (GLSC) histogram which is constructed with a constant similarity measure 4 can be extended by ...
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EFFICIENT DEFECT DETECTION ALGORITHM FOR GRAY LEVEL DIGITAL IMAGES USING GABOR WAVELET FILTER AND GAUSSIAN FILTER
... The Gabor filter output is fed as input to Gaussian filter in order to identify the high energy pixels and smoothed. The output will be an image which eliminates all the texture elements. The Searching Algorithm performs ...
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Texture Feature Extraction to Colorize Gray Images
... a spatial property, a simple one-dimensional histogram is not useful in characterizing ...the spatial dependence of gray-level values which contribute to the perception of texture, a ...
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Colorectal Cancer Tissue Classification Based on Machine Learning
... histological images is important for diagnostic assistance and ...histological images generally contain more than one tissue type, multi-class texture analysis plays a critical role to solve this ...
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Dengue Fever Classification Based on Grey Level Co-occurrence Matrix Feature
... SVM is a supervised learning algorithm, meaning it infers its function from labelled training data. In our proposed method SVM is trained for 50 images of cancerous stem cell and 50 non-cancerous stem cells. The ...
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Kernel Sparse Coding & Texture Feature based Segmentation for Cerebral Edema
... the gray image using the MRI procedure. It will be done into gray image by scaling the image and then later on it will calculate the all like correlation and entropy and then it will convert them into the ...
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INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & MANAGEMENT COLOR IMAGE SEGMENTATION USING STATISTICAL FEATURES AND DEMPSTER-SHAFER EVIDENCE THEORY Rafika Harrabi, Ezzedine Ben Braiek
... final images using the homogeneity histogram, the FCM algorithm, the distance and the Gaussian distribution for the determination of mass functions in DS theory are shown in Figures 6(b), 6(c), 6(d) and 6(e), ...
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Color Image Segmentation Using Fuzzy Masking Methods
... Image segmentation is one of the most important steps most important to the analysis of processed image data, which refers to grouping of similar pixels together and separating the particular portion of the image for the ...
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Image Retrieval based on Local Histogram and Texture Features
... Abstract — In this paper we propose a new and efficient technique to retrieve images based on sum of the values of Local Histogram and GLCM (Gray Level Co-occurrence Matrix) texture to enhance the ...
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3D Gray Level Co Occurrence Matrix Based Classification of Favor Benign and Borderline Types in Follicular Neoplasm Images
... Since the efficiency of treatment of thyroid disorder depends on the risk of malignancy, indeter- minate follicular neoplasm (FN) images should be classified. The diagnosis process has been done by visual ...
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A Method of Sign Language Gesture Recognition Based on Contour Feature
... Abstract—The paper gives a method for sign language gesture recognition using contour features. First, the sign language gesture images pre-processing such as background image difference is given. Then the method ...
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Bit plane slicing technique to classify date varieties
... Abstract: Varietal purity is an important parameter in the quality standards of dates. In general, variety identification is done by visual inspection method in grading and handling facilities. Online variety assessment ...
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Robust and Efficient Segmentation of Blood Vessel in Retinal Images using Gray-Level Textures Features and Fuzzy SVM
... of gray-level and intensity histogram-based features for pixel ...retinal images where the vascular structure has been precisely marked by ...
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Log transform based optimal image enhancement using firefly algorithm for autonomous mini unmanned aerial vehicle: an application of aerial photography
... An Unmanned Aerial Vehicle (UAV) is defined as a space traversing vehicle that flies without a human team on board and can be remotely controlled or fly separately [1]. In the recent era, the application of the UAV for ...
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A review on various brain tumor detection techniques in brain MRI images
... brain images is possible via supervised techniques such as artificial neural networks and support vector machine (SVM), and unsupervised classification techniques unsupervised such as self-organization map (SOM) ...
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David T Conley, PhD Professor, University of Oregon
... •• Gray Gray indicates performance levels not scored at that benchmark level. Benchmark[r] ...
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