Image segmentation is the way of splitting digital data into subgroups known as image segments, which reduces the entire image's complexity and allows for further processing or image analysis of each segment. the ...
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ISBN:
(数字)9798331522216
ISBN:
(纸本)9798331522223
Image segmentation is the way of splitting digital data into subgroups known as image segments, which reduces the entire image's complexity and allows for further processing or image analysis of each segment. the general segmentation techniques of images are divided into traditional methods and deep learning methods. In this paper, we introduce a deep-learning approach to a traditional image segmentation method (i.e., edge detection) and propose a new framework for hierarchical image segmentation. In the new framework, we first use the Bi-Directional Cascade Network (BDCN) model as our edge detector to preprocess the input image in order to form a feature map with coarse edges. then, we refine the edges of the image by using the watershed algorithm. Finally, we form a segmentation dendrogram by using the Ultrametric Contour Map (UCM) algorithm. Extensive experiments have demonstrated that our proposed framework has significant advantages in segmentation performance compared to the state-of-the-art algorithms.
As the intensity of confrontation in the neighbourhood continues to escalate, the air defence threat facing our country is growing, and information-based air defence is facing unprecedented challenges. On the basis of...
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ISBN:
(数字)9798331522216
ISBN:
(纸本)9798331522223
As the intensity of confrontation in the neighbourhood continues to escalate, the air defence threat facing our country is growing, and information-based air defence is facing unprecedented challenges. On the basis of existing aviation detection means, comprehensive analysis of airborne targets is the primary task of exploring the laws of information-based air defence. Among them, the civil-military identification of flying targets is crucial to the military's operational decision-making and battlefield control. Hence, this study focuses on trajectory signal processing, machine learning intelligent recognition based on manual sequence features, and improvement of TSFRESH feature extraction to enhance its timeliness. Specifically, we design a rule-based filtering method to effectively remove wild-value data from the original trajectory data. And then we propose a support vector machine model based on manual sequence features. Effective trajectory features are extracted based on TSFRESH, and the support vector machine model is used to achieve the classification of military and civilian aircraft. Meanwhile to shorten the TSFRESH feature extraction time, we use the mutual information method to downscale the extracted features to speed up the classification time. Experiments show that this method can achieve the task of classifying military and civilian aircraft based on trajectory information and significantly reduce the running time.
the proceedings contain 25 papers. the topics discussed include: optimization scheme of PBFT consensus algorithm based on Changan blockchain;matrix completion recommendation algorithm based on attention mechanism;a ta...
the proceedings contain 25 papers. the topics discussed include: optimization scheme of PBFT consensus algorithm based on Changan blockchain;matrix completion recommendation algorithm based on attention mechanism;a task offloading method for smart instruments based on edge computing;research on the deployment of MEC edge computing platform based on 5G network in power system;effect of two typical wing forms on aerodynamic characteristics of double-ellipsoidal airship;construction and application of subject knowledge graph for basic education;latency-aware load balancing virtual network embedding algorithm;trajectory modeling calculation and maneuverability analysis of proportional navigation method;and robust optimization on e-commerce closed-loop supply chain with uncertain environment.
Wearable step counting devices, such as smartwatches and activity trackers, have become ubiquitous, embedding sensors like Inertial Measurement Units (IMUs), barometers, and GPS systems to monitor physical activity. D...
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Withthe improvement of informationtechnology, service robots are becoming more and more deeply involved in our work and life, and provide a wider variety of services. How to make robots communicate with humans more ...
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Withthe development of Internet technology, the number of malicious software is increasing and malicious attacks are becoming rampant. therefore, the research on malicious software has a great application prospect. T...
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In this paper, a novel fingerprint scheme for digital images is proposed. the fingerprint code is inserted into the host image based on the local intrinsic dimension estimation. In this way, the proposed fingerprint s...
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In modern industrial age, the use of electric energy has a higher status in the production and operation of enterprises. In order to ensure the safe and stable operation of the power distribution cabinet in the power ...
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Withthe improvement of industrial manufacturing level, there are many kinds of workpieces and complex parameters. Traditional measurement methods are inefficient in the face of new products or different customer need...
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the knowledge atlas private cloud teaching assistant system realizes the registration, login, addition, deletion, change and query functions of information and course experimental homework, the behavior data collectio...
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