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Otsu-Based Differential Evolution Method for Image Segmentation
This paper proposes an OTSU-based differential evolution method for satellite image segmentation and compares it with four other methods as Modified...
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Contrast Enhancement of Medical Images Using Otsu Thresholding
Low variation between medical pictures does not produce accurate interpretations during analysis or by medical professionals or by machines in an...
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Adaptive trapezoid region intercept histogram based Otsu method for brain MR image segmentation
In brain magnetic resonance (MR) image segmentation, the current Otsu method is often difficult to take both accuracy and anti-noise capability into...
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A Robust Cross-Weighted Thresholding Method for Object Extraction in Complex Scenes
Traditional thresholding methods are widely used to extract objects of interest from image backgrounds in various practical applications. However,...
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Threshold Image Segmentation for Non-uniform Illumination Using Otsu Optimization Approach
With an improved algorithm based on the Otsu method, this paper proposes solving the shadow region problem caused by non-uniform illumination. The...
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Multi-dimension tool wear state assessment criterion on the spiral edge of the milling cutter
In the assessment of the tool wear state for the spiral edge of milling cutter based on machine vision, the traditional assessment criterion is often...
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Particle Swarm Optimizer Variants for Multi-level Thresholding: Theory, Performance Enhancement and Evaluation
Multilevel thresholding (MLT) has a significant impact in the realm of image segmentation. It is a simple and efficient method for image...
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WMHMT-IWD: Weibull Mixtures-HMT Based Image Watermark Detector
Balancing imperceptibility, data payload and robustness is a crucial and unsolved issue in the area of digital watermarking. It has been found that...
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A Framework for Elephant Flow Detection for SDNs Based on the Classification
Recently, there has been considerable interest in the classification of flows among existing applications in SDN, such as traffic engineering,...
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Arithmetic optimization-based K means algorithm for segmentation of ischemic stroke lesion
Stroke is a life-threatening medical condition which blocks arteries supplying blood to brain. Stroke lesion delineation from brain MRI by clinical...
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Segmentation of epithelial human type 2 cell images for the indirect immune fluorescence based on modified quantum entropy
The autoimmune disorders such as rheumatoid, arthritis, and scleroderma are connective tissue diseases (CTD). Autoimmune diseases are generally...
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A coherent framework for simultaneous detection and spotting of the nucleus phase from the mid-air gesticulation of alphanumeric keys
Spotting is one of the crucial stages in the gesture recognition field and is minimally explored in isolated gestures. Literature shows that the need...
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Research on Image Segmentation Algorithm and Performance of Power Insulator Based on Adaptive Region Growing
With the widespread application of power inspections, the problem of insulator segmentation in complex environments has become a current challenge....
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Multi-level Image Segmentation Using Kapur Entropy Based Dragonfly Algorithm
Multilevel thresholding divides an image into different objects based on multiple threshold values. A good multi-level segmentation scheme finds the...
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Skin Cancer Detection Using Image Processing: A Review
This review paper focuses on different algorithms used for detection and classification of skin cancer which include steps such as Image...
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A CNN Approach for the Identification of Dorsal Veins of the Hand
In this paper, we proposed a dorsal hand vein recognition method based on Convolutional Neural Network (CNN). Firstly, implementation of raw images...
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Development and Test of an Auto Seedling Detection System
In view of the importance of maize to the economy and people’s livelihood, the breeding and testing of new maize varieties in the laboratory is...
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A multilevel thresholding algorithm using HDAFA for image segmentation
Segmentation of image is a key step in image analysis and pre-processing. It consists of separating the pixels into different segments based on their...
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Adaptive Subpixel Edge Detection for Locating the Center of Nut Screw Hole
An accurate and fast machine vision-based method for locating the center of disk nuts is of tremendous significant for safe installation and...
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Phase Segmenting Process in Ultra-High Carbon Steels Using Deep Vision Approach
Accurate segmentation of phases is an extremely crucial part of phase quantification and identification. In this paper, an efficient image...