[PDF] Top 20 A smoke image segmentation algorithm based on rough set and region growing
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A smoke image segmentation algorithm based on rough set and region growing
... of segmentation accuracy, recall rate and F-value, why the proposed algorithm is supe- rior to the literature (JiaY et ...the rough cen- tralized knowledge is used to classify ...black smoke ... See full document
9
Rough Set based Natural Image Segmentation under Game Theory Framework
... is rough. Each rough set has boundary-line cases, ...the set or its complement. With any rough set a pair of precise sets, called the lower and the upper approximation of the ... See full document
5
Enhanced ROI (Region of Interest Algorithms) for Medical Image Compression
... Medical image compression applications are quality-driven applications which demand high quality for certain regions that have diagnostic importance in an image, where even small quality reduction ... See full document
6
Development of segmentation algorithm based region growing for software GIS GRASS
... Image segmentation is fundamental prerequisite for new satellite images interpretation ...provides segmentation tools enabling global image segmentation ...local segmentation ... See full document
10
Review Study on Digital Image Processing and Segmentation
... various image segmentation techniques and discusses in detail the edge detection techniques and their ...an algorithm which is a combination of detection and evaluation of the edge ...the ... See full document
5
A Brief Survey on Image Segmentation Techniques
... Fuzzy set theory is used in order to analyze images, and provide accurate information from any ...from image as well [34]. A gray-scale image can be easily transformed into a fuzzy image by ... See full document
7
ENHANCE INTRUSION DETECTION CAPABILITIES VIA WEIGHTED CHI SQUARE, DISCRETIZATION AND SVM
... an algorithm that integrated fuzzy-c-mean (FCM) and region growing techniques to automatically segment tumor images from patients with ...the region-growing procedure for pixels ... See full document
10
1. A segmentation approach of the ultra sound image to detect renal calculi
... Ultrasound image segmentation is powerfully assertive by the quality of information and continuous development of computer technology, digital systems, portability and modern medical imaging technology has ... See full document
5
Region Based Satellite Image Segmentation Using JSEG Algorithm
... Jpeg segmentation, it is necessary to calculate the J-value of the query ...the set of all points of quantized image is defined by Z, then z = (x, y) with z ∈ Z and with m being the average in all Z ... See full document
5
MR Brain Image Segmentation Using Region Based Active Contour Model
... given image, and to stop the evolution when the curve reaches the desired iteration ...Then, region based active contour model is for segmenting the region of ...this algorithm can be ... See full document
6
Image Segmentation Technique A study on Region Growing Approaches
... other image processing methods. Image processing and analysis is an important area in the field of ...is based on first acquiring data that describe its ...field based on these ... See full document
5
APPENDIX-II Outdoor Scene Image Segmentation- State of the Art
... the image plane that represents dissimilar pixels between the neighboring ...detection algorithm based on a large number of generic features calculated over a large image ...this ... See full document
8
Using rough set through for classification of image segmentation data
... picture image segmentation which fulfills above requirements. Image segmentation, first step of most image analysis procedures, is the process of partitioning an image into ... See full document
26
Graph Based Region Merging Algorithm for Image Segmentation
... of segmentation of a image into small ...primarily based portrayal of the ...efficient segmentation calculation in light of this predicate, and demonstrate that in spite of this ... See full document
7
Simple and Efficient Smoke Segmentation Based on Fully Convolutional Network
... images set are given in the Table 1. It is obvious that our algorithm performs best on the smoke image segmentation test set compared to other ...FCN-8s algorithm is ... See full document
5
Color Image Segmentation using Rough Set based K Means Algorithm
... thresholding based image segmentation methods can be found in the ...better segmentation of an ...the region of interest (ROI) ...cluster region generation was proposed by ... See full document
6
Segmentation of Textured Images Using Region Growing and Phase Correlation Algorithm
... multivariate image segmentation approach. Multivariate image segmentation is influenced by large intraclass variation that reduces class distinguishability and solution space complexity ... See full document
8
Image Segmentation using Rough Set based Fuzzy K means Algorithm
... Image segmentation is critical for many computer vision and information retrieval systems, and has received significant attention from industry and academia over last three ...a segmentation ... See full document
5
A New Image Segmentation Algorithm Based on Particle Swarm Optimization and Rough Set
... Optimization is the act of obtaining the best result under given circumstances. PSO is an evolutionary optimization technique introduced by Kennedy and Eberhart at 1995. It has been widely used to solve a wide range of ... See full document
9
A Review Of Left Ventricular Myocardium Analysis And Diagnosis Techniques For Ct Images Of Heart
... various segmentation methods. Basic idea of region based segmentation is homogeneity, where discrimination of pixels is based on some predefined characteristics of neighborhood, and ... See full document
5
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