[PDF] Top 20 Detection of defects in digital texture images using segmentation
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Detection of defects in digital texture images using segmentation
... The extracted image K and the median value of each row of the original image f(x, y) is used for identifying the defected area. The defected area is identified sudden variation from the former pixel or from the median ... See full document
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Analysis and Classification of Kidney Images Using Watershed Segmentation and Texture Properties
... Early detection and right treatment based on exact diagnosis are important steps to improve disease ...CT images using Digital image ...image segmentation algorithms are generally based ... See full document
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Segmentation Of Skin Lesion From Digital Images Using Morphological Filter
... sensitive images or can say to detect the tumor or cancer ...color detection has a very essential characteristic ...in images containing skin ...Improved segmentation, classification and ... See full document
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Brain Tumor Boundary Detection in MR Image by H omogeneity Enhancement Process
... in texture analysis is the texture segmentation of an image, that is, to partition the image space into a set of sub regions each of which is homogeneously ...tumor segmentation provides ... See full document
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Comparison of intraoral radiography and cone-beam computed tomography for the detection of periodontal defects: an in vitro study
... better detection rates for CBCT than the digital PSP plates for detecting the peri- odontal ...periodontal defects individually for PSP and ... See full document
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Seismic Damage Recognition Based on Watershed Segmentation of SAR Image Texture Features
... SAR images of different time phase, especially in SAR images after earthquake, is easily disturbed by other factors, which affects the accuracy of information ...abundant texture features in the SAR ... See full document
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Spatial Image Enhancement of Color Images Using Texture Analysis
... Digital images are the most common application of now day’s ...the digital images are playing their roles. The problem with images is that, their quality depends on a number of other ... See full document
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UNSUPERVISED SEGMENTATION OF TEXTURE IMAGES USING A COMBINATION OF GABOR AND WAVELET FEATURE
... vision, texture plays an important role in low-level image analysis and ...sensing Images, industrial monitoring of product quality, medical imaging, and recently, content-based image and video ...of ... See full document
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DETECTION AND CLASSIFICATION OF METAL DEFECTS USING DIGITAL IMAGE PROCESSING
... binary images to detect small area covering single defect. Each detection algorithm is not applied as it may give false ...detecting defects the areas undergo ... See full document
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Face Detection and Face Recognition using Face Segmentation Technique
... a digital computer. In a wider context the image processing means digital processing of the two-dimensional matrix kind of ...analyzing images forms a large part of the routine cerebral activity of ... See full document
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Segmentation and Localization of Optic Disc Using Feature Match and Medial Axis Detection in Retinal Images
... 110 images, all those visual characteristics related to potential problems that may distort the detection process of the papillary ...The images were acquired with a colour analogical fundus camera, ... See full document
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A Review on Brain Tumour Detection Using Image Segmentation
... scalar images by creating a binary partitioning of the image ...classes. Segmentation is achieved by grouping all pixels with intensity greater than the threshold into one class, & all other pixels into ... See full document
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SEGMENTING DIGITAL IMAGES USING EDGE DETECTION
... Image segmentation is an active topic of research for last many ...Edge detection in images significantly reduces the amount of data and filters out useless information, while preserving the ... See full document
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Diabetes detection using segmentation of super pixel in slo images
... rich texture of the iris surface information, as an important identification ...eyelash detection, the eyelash gray level is lower than the iris gray, which will be used to segment the eyelash of iris area ... See full document
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Segmentation of Activated Sludge Filaments using Phase Contrast Microscopic Images
... automated segmentation and analysis of phase contrast images is a challenging task due to the low contrast between foreground objects and the background as well as various imaging artefacts ...image ... See full document
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ICTS AND ECONOMIC GROWTH IN AFRICAN COUNTRIES
... the segmentation process is completed and homogeneous regions presented in the image of batik are obtained, then feature extraction is performed to obtain parameters that will be used for testing of the image ... See full document
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Melanoma Detection in Dermoscopic Images using Color Features
... modality. Melanoma diagnosis is dependent on the dermatologist’s experience and is time-consuming. As the disease metastasizes to the lymph nodes, biopsy is required for the diagnosis. This indicates the need for ... See full document
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Preprocessing digital retinal images for vessel segmentation
... CLAHE: The Contrast Limited Adaptive Histogram Equalization (CLAHE) technique is a modification to the original histogram equalization approach. It has been used successfully to improve the contrast of medical ... See full document
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Segmentation of Lung Images using Region Based Neural Networks
... which combines traditional and purposely used image processing based methods, for example,segmentation based on thresholding, morphological based operations on opening and closing, detection of border its ... See full document
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Plant Disease Prediction using Image Processing Techniques- A Review
... Agriculture has become much more than simply a means to feed ever growing populations. It is very important where in more than 70% population depends on agriculture in India. That means it feeds great number of people. ... See full document
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