[PDF] Top 20 An Improved Image Segmentation Algorithm Based on MET Method

An Improved Image Segmentation Algorithm Based on MET Method

... bound on the variance of any unbiased estimator of a parameter is called the Cramér-Rao lower bound (CRLB) ...estimation method. It depends on the statistical properties of the observations, the ... See full document

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Ant Colony Clustering Algorithm and Improved Markov Random Fusion Algorithm in Image Segmentation of Brain Images

... the segmentation of human brain MR images has been studied, so that better service can be provided in the medical field by diagnosing diseases accurately and ...clustering algorithm, and the search process ... See full document

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Optimum Multilevel Image Thresholding Based on Tsallis Entropy Method with Bacterial Foraging Algorithm

... the segmentation results are satisfactory and the threshold determination process could be accelerated ...proposed algorithm that can determine the number of thresholds automatically as well as save a ... See full document

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A Multi-Stage Algorithm for Enhanced XRay Image Segmentation

... of segmentation techniques is that the image may look ...monochrome image which lacks definition other than its perceivable shape and size ...from an image by using ...final ... See full document

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Novel Image Classification technique using Particle Filter Framework

... of image classification is still a challenging task in satellite image ...novel image classification technique that uses the particle filter framework (PFF) –based optimisation technique for ... See full document

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Using Quadtree Algorithm for Improving Fuzzy C-means Method in Image Segmentation

... world, image segmentation has a special effect in image ...the image analysis. Image segmentation is defined as a process in which the image is separated into discrete ... See full document

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Automatic histogram threshold using fuzzy measures

... Segmentation based on gray level histogram thresholding is a method to divide an image containing two regions of interest: object and ...whole image, pixels whose gray ... See full document

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A Review On Segmentation Based Image Compression Techniques

... MAP segmentation for image compression was proposed ...the segmentation algorithm using the maximum a posteriori (MAP) criterion was ...classifying image blocks into edge, monotone, and ... See full document

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GPU-BASED IMAGE SEGMENTATION USING LEVEL SET METHOD WITH SCALING APPROACH

... set method quite suitable for the method such as mud and water physically-based simulations [4], but the method require solving the partial differential equations (PDEs), so the solution ... See full document

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A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER

... the segmentation algorithm is a main processing step in object-based image analysis ...depends on the segmentation scale ...estimating segmentation scale parameter. This ... See full document

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AN OPTIMIZATION ALGORITHM BASED ON BACTERIA BEHAVIOR

... hybrid method combining ant colony and beam search is proposed. It relies on the use of an effective local search procedure to improve previous ...[17] an improved ACO is presented to ... See full document

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A Comparative Study on CT Image Segmentation Using FCM-based Clustering Methods

... specific image regions that may represent healthy tissues or suspicious nidus is an important process for CT image ...of image segmentation is to partition a given image into ... See full document

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Encryption Image Using Small Order Linear Systems and Repeated Modular Numbers

... block- based transformation encrypted image algorithm ...maps image encryption ...encrypted image [9]. Jayant and Roy proposed the method of break correlation among neighboring ... See full document

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A Pruning Algorithm for Efficient Image Segmentation with Neighborhood Neural Networks

... the image, the neighborhoods of the pixels on the boundaries are neces- sarily ...For an M × N image, the candidate pixels at the corners of the lattice are encircled by only three neighboring ... See full document

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MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS

... Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale ...(PolSAR) image multi-scale ... See full document

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IMPROVED VARIABLE STEP SIZE INCREMENTAL CONDUCTANCE MPPT METHOD WITH HIGH CONVERGENCE SPEED FOR PV SYSTEMS

... (INC) algorithm is widely used in PV systems due to the high tracking speed and ...paper an improved variable step size algorithm which is based on incremental conductance ... See full document

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Recognition of leishmania parasite and macrophage infection rate using image processing techniques

... Parasite Segmentation is the process in which small parasites are extracted from input DAPI ...available method dedicated to segmenting parasites(or alternatively tiny particles) in DAPI ...feature ... See full document

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An Improved Genetic Algorithm Based on Adaptive Repair Operator for Solving the Knapsack Problem

... penalty method) infeasible bred strings (or chromosomes) were allowed to join the population however by reducing the string strength by adding penalty terms to the ...runs on the same problem instance, the ... See full document

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Research on manufacturing text classification based on improved genetic algorithm

... genetic algorithm (GA). In addition, compared to traditional method , the genetic algorithm is an adaptive global optimal searching algorithm and has more special and advantageous ... See full document

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OUT-OF-FOCUS REGION SEGMENTATION OF 2D SURFACE IMAGES WITH THE USE OF TEXTURE FEATURES

... A segmentation method of out-of-focus image regions for processed metal surfaces, based on focus textural features is ...for segmentation of out-of-focus regions of images is ... See full document

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