Results 21 to 30 of about 248,234 (269)

Automated grading of mangoes based on surface defect detection using a combined approach of image segmentation

open access: yesEnvironment Conservation Journal, 2020
Image segmentation is an essential and critical step in huge number of applications of image processing. Accuracy of image segmentation influence retrieved information for further processing in classification and other task.
Neeraj Kumari   +3 more
doaj   +1 more source

Image quality and segmentation [PDF]

open access: yesMedical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 2018
Algorithms for image segmentation (including object recognition and delineation) are influenced by the quality of object appearance in the image and overall image quality. However, the issue of how to perform segmentation evaluation as a function of these quality factors has not been addressed in the literature.
Gargi V. Pednekar   +7 more
openaire   +3 more sources

Estimation of Depth Information of Image Based on Energy Distribution

open access: yesChemical Engineering Transactions, 2015
Image segmentation is an effective way to analysis image, which has received more and more attention. The traditional image segmentation technology can't get the result of the semantic image segmentation.
J.Y. Li, Q.B. Yuan
doaj   +1 more source

Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm

open access: yesApplied Bionics and Biomechanics, 2022
With the increasingly important role of image segmentation in the field of computed tomography (CT) image segmentation, the requirements for image segmentation technology in related industries are constantly improving.
Lingli Shen
doaj   +1 more source

Instance Segmentation as Image Segmentation Annotation [PDF]

open access: yes2019 IEEE Intelligent Vehicles Symposium (IV), 2019
The instance segmentation problem intends to precisely detect and delineate objects in images. Most of the current solutions rely on deep convolutional neural networks but despite this fact proposed solutions are very diverse. Some solutions approach the problem as a network problem, where they use several networks or specialize a single network to ...
Thomio Watanabe, Denis F. Wolf
openaire   +3 more sources

Binocular Image Segmentation Based on Graph Cuts Multi-feature Selection [PDF]

open access: yesJisuanji kexue, 2021
Binocular image segmentation is crucial for subsequent applications such as stereoscopic object synthesis and 3D reconstruction.Since binocular images contain scene depth information,it is difficult to obtain ideal segmentation results by applying ...
JIN Hai-yan, PENG Jing, ZHOU Ting, XIAO Zhao-lin
doaj   +1 more source

Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology

open access: yesIEEE Access, 2021
Image segmentation is a key technology in the field of computer image processing. Among them, segmentation methods based on active contour models have been developed rapidly in recent years due to their effective processing of complex images such as ...
Xinghuo Ye, Qianyi Wang
doaj   +1 more source

Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm

open access: yesTomography, 2022
Automatic image segmentation plays an important role in the fields of medical image processing so that these fields constantly put forward higher requirements for the accuracy and speed of segmentation.
Bing Li   +4 more
doaj   +1 more source

Multilevel thresholding image segmentation algorithm based on Mumford–Shah model

open access: yesJournal of Intelligent Systems, 2023
Image segmentation is one of the important tasks of computer vision and computer image processing, and the purpose of image segmentation is to achieve the extraction and recognition of the target image region.
Kang Xiancai, Hua Chuangli
doaj   +1 more source

Image segmentation based on improved OSV decomposition model

open access: yesXi'an Gongcheng Daxue xuebao, 2022
A new multi-region image segmentation model based on improved OSV image decomposition was proposed for the coexistence of image structure and texture components. The model preserved the divergence-free vector field of texture image, combined multi-region
GUO Yuying   +4 more
doaj   +1 more source

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