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IrisSeg-drunk: enhanced iris segmentation and classification of drunk individuals using Modified Circle Hough Transform
The field of biometrics has become increasingly intriguing due to the significant amount of research being conducted on Iris Recognition (IR) in...
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Non-destructive Two-Dimensional Motion Measurement of Cardiomyocytes Based on Hough Transform
Cardiomyocytes, as one of the few biological cells capable of autonomous beating in vitro, have attracted more and more attention in the fields of...
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Multiple circle detection in images: a simple evolutionary algorithm approach and a new benchmark of images
The circle detection problem focuses on finding all circle shapes within a given image. In fact, circle detection has several applications in...
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Diabetic retinopathy detection by optimized deep learning model
In the medical image analysis, the diagnosis of diabetic retinopathy (DR) from fundus images are identified as an open challenge and requires...
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A sub-pixel circle detection algorithm combined with improved RHT and fitting
Circle extraction is usually a pre-completed task used in different applications related to medical, robotics, biometrics image analysis among...
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Evaluation of effectiveness of eye massage therapy via classification of periocular images
This paper proposes a method to evaluate the effectiveness of the eye message therapy. The existing methods are via the diagnoses conducted by the...
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Iris Recognition using Multi Objective Artificial Bee Colony Optimization Algorithm with Autoencoder Classifier
In recent decades, iris recognition is a trustworthy and important biometric model for human recognition. Criminal to commercial products, citizen...
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A low complexity Iris localization algorithm for Iris biometrics
Though there has been a plethora of the iris localization schemes, most of these have not been implemented in the real-time systems due to...
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Astute, fine and fast method of iris segmentation in unlimited circumstances
Currently, Iris detection is considered as a significant module for robust biometric systems and high-speed applications such as eye tracking. Most...
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A novel efficient method for welding spots detection
The traditional welding spots detection methods are very sensitive to light pollution, rust and oil stain. In this work, a novel method that combines...
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A novel method for circular objects extraction based on region information
By using region pixels rather than edge points, a novel method is proposed for extracting circular objects in an image. A two-dimensional accumulator...
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Comparative study of different machine learning models for automatic diabetic retinopathy detection using fundus image
Diabetics suffer from an eye condition called diabetic retinopathy (DR), which can lead to vision loss. The main region affected is the blood vessels...
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Pupil detection schemes in human eye: a review
Pupil detection in a human eyeimage or video plays a key role in many applications such as eye-tracking, diabetic retinopathy screening, smart homes,...
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A robust iris localization scheme for the iris recognition
Due to current security situations around the globe, iris biometric technology is highly preferred for both overt and covert applications. A typical...
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A Fast Method for Extracting Parameters of Circular Objects
A region-based method is proposed for extracting parameters of circular objects in images. The Hough space is defined by a 2-dimensional accumulator...
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A review on camera calibration in soccer videos
Camera calibration has attracted much attention, as a primary step of various soccer game analyses, such as real-world player tracking and offside...
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An iris segmentation scheme based on bendlets
Due to the effect of agents such as ambiance, transition channel, and other agents, images are polluted by noise during collection, transition, and...
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The Shape of Patterns Tells More
For image processing applications, an initial step is usually extracting features from the target image. Those features can be lines, curves,...
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Iris segmentation for non-ideal Iris biometric systems
At present, iris recognition systems are highly demanded for covert applications such as monitoring terrorist activities at public places,...
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Visual question answering on blood smear images using convolutional block attention module powered object detection
One of the vital characteristics that determine the health condition of a person is the shape and number of the red blood cells, white blood cells...
