Medical waste, i.e. waste produced during medical activities in hospitals, clinics and laboratories, represents hazardous waste whose management involves special care and high costs. However, this kind of waste contai...
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ISBN:
(纸本)9798350302615
Medical waste, i.e. waste produced during medical activities in hospitals, clinics and laboratories, represents hazardous waste whose management involves special care and high costs. However, this kind of waste contains a significant fraction of highly valued materials that can enter a circular economy process. To this end, in this paper, we propose a computer vision approach for assisting in the primary sorting of medical waste. The feasibility of our approach is demonstrated on a representative dataset we collected and made available to the community, with which we have trained a model that achieves 100% accuracy, and a new dataset on which the trained model exhibits good generalization.
In order to solve the problem that the speech signal with noise in the communication, the paper proposes a method to reduce the noise of speech signal based on MATLAB & FDAtool. FDAtool is a GUI interface, which h...
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ISBN:
(数字)9798350360240
ISBN:
(纸本)9798350384161
In order to solve the problem that the speech signal with noise in the communication, the paper proposes a method to reduce the noise of speech signal based on MATLAB & FDAtool. FDAtool is a GUI interface, which has the characteristics of graphic visualization, intuitive and effective to analysis of the system frequency spectrum. By analysis the time and frequency domain characteristics of speech and the noise signal, it makes use of the FDAtool and window functions to design the FIR filter to process the speech signal. The design results show that the combination of window function and FDAtool can effective perform signal processing and reduce the noise.
Early screening for tumor symptoms through magnetic resonance imaging (MRI) is crucial for the timely diagnosis and treatment of brain tumor patients. To address the challenge of poor prediction accuracy in single dee...
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The alteration, editing, or creation of digital photographs for deceit, misrepresentation, or fraud is called 'Digital image Forgery.' image manipulation entails utilizing numerous methods and tools to change ...
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In lightweight Super Resolution (SR) tasks, balancing performance and efficiency is a challenge for CNN-based models. The Transformer architecture has been introduced into super-resolution tasks due to its global self...
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It is a useful technique used in many imageprocessingapplications to distinguish objects from the background. In this work, we examine the thresholding techniques that may be applied to make microscopic skin images ...
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The accuracy of image recognition algorithm is greatly reduced in practical applications. To solve this problem, an architecture combining semantic segmentation and image classification is proposed. U-Net network is u...
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This paper proposes edge contour extraction. Edge detection technology directly affects the contour extraction process. At the same time, the edge contour extraction scheme to eliminate the interference effects such a...
This paper proposes edge contour extraction. Edge detection technology directly affects the contour extraction process. At the same time, the edge contour extraction scheme to eliminate the interference effects such as edge burrs and shadows is studied, and the number and length of edge contours are calculated. This paper analyzes from three problems perspectives: Problem l: Contains three cases. Picl_l: Read the original image through the Soble operator, apply the attenuation factor to the spline interpolation, and use the maximum between-class variance method. Picl_2: The filter performs a “frame filtering” operation on the image to obtain the highlighted map of “various features, ” and then uses the Sobel operator to analyze the image. Picl_3: Binarize the control threshold followed by box filtering, then use the Sobel operator for image edge recognition to get a preliminary image. Finally, the Canny operator is used to obtain the edge contour data. Problem 2: Because the camera imaging process is actually converted from the “world coordinate system” to the “camera coordinate system”, then projected onto the imaging plane and finally converted into the image pixel coordinate system. The original image is distorted due to various factors. Problem 3: First, process the subject data to form an image and generate corner points through MATLAB software. Then, the Canny algorithm is used to circle the sub-pixel edge of the image. Finally, the lengths of contour1 and contour2 are calculated.
This paper describes problems of improving security cameras' video footage for forensic investigation. When processing records, one encounters problems with low resolution, poor lighting, or excessive distance of ...
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image cropping aims at locating a candidate (rectangle region) with the highest aesthetic quality in professional photography. One solution of the previous methods is to generate a large number of candidates and then ...
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ISBN:
(纸本)9781728198354
image cropping aims at locating a candidate (rectangle region) with the highest aesthetic quality in professional photography. One solution of the previous methods is to generate a large number of candidates and then filter them, which leads to low efficiency. Another idea directly regresses the candidate coordinates to speed up but ignores the aesthetic subjectivity of the candidate's evaluation, limiting the model's performance. In this paper, we present an Aesthetic and Composition joint Probability Distribution regression Network (ACPD-Net) to explicitly investigate the process of generating the candidate with a joint probability distribution paradigm to improve the performance of cropping results in an efficient way. The joint probability distribution paradigm between location and size branch can identify the subjective aesthetic region and satisfy the objective composition rules in an end-to-end manner. Our method has been tested on the FCDB and FLMS datasets, which shows the superiority of ACPD-Net. The code is available at https://***/flyingbird93/ACPD-Net.
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