Results 31 to 40 of about 790,123 (309)
Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images
, 2020 Efficient and easy segmentation of images and volumes is of great practical importance. Segmentation problems that motivate our approach originate from microscopy imaging commonly used in materials science, medicine, and biology.
Dahl, Anders Bjorholm +3 more
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Research of segmentation method on color image of Lingwu long jujubes based on the maximum entropy
EURASIP Journal on Image and Video Processing, 2017 This paper researches on methods of the color image segmentation method of Lingwu long jujubes based on the maximum entropy to achieve the accuracy of image segmentation and improve accuracy of machine recognition.
Yutan Wang +5 more
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Medical Image Segmentation Based on Transformer and HarDNet Structures
IEEE Access, 2023 Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of diseases. However, the accuracy of medical image segmentation needs further improvement due to the problems of many noisy medical images and the high similarity ...
Tongping Shen, Huanqing Xu
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WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
IEEE Access, 2019 Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou +4 more
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Model-based learning of local image features for unsupervised texture segmentation
, 2017 Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or designing new ones can be a tedious task.
Kiechle, Martin +3 more
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MCMC algorithm based on Markov random field in image segmentation.
PLoS ONEIn the realm of digital image applications, image processing technology occupies a pivotal position, with image segmentation serving as a foundational component.
Huazhe Wang, Li Ma
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IMAGE SEGMENTATION AND OBJECT RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORK TECHNOLOGY
Надежность и качество сложных систем, 2021 Background. An analysis of the processes of image segmentation is being carried out. An original method of image segmentation using a convolutional neural network is proposed. Materials and methods.
A.I. Godunov, S.T. Balanyan, P.S. Egorov
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Pediatric Blood &Cancer, EarlyView.Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source
Applying morphology to improve Canny operator's image segmentation method
The Journal of Engineering, 2019 When a single image segmentation method is used for image segmentation of wind turbine blade images under a complex background, the results obtained are not accurate and complete.
Hongyun Xu, Xiaoli Xu, Yunbo Zuo
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Image segmentation evaluation using an integrated framework [PDF]
, 2007 In this paper we present a general framework we have developed for running and evaluating automatic image and video segmentation algorithms. This framework was designed to allow effortless integration of existing and forthcoming image segmentation ...
Adamek, Tomasz +3 more
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