Results 21 to 30 of about 335,064 (318)
Multilevel thresholding image segmentation algorithm based on Mumford–Shah model
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
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Image segmentation based on improved OSV decomposition model
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
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A robust automatic clustering scheme for image segmentation using wavelets [PDF]
The optimal features with which to discriminate between regions and, thus, segment an image often differ depending on the nature of the image. Many real images are made up of both smooth and textured regions and are best segmented using different ...
Canagarajah, CN, Porter, RMS
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Unsupervised colour image segmentation using dual-tree complex wavelet transform [PDF]
In this paper we present an effective unsupervised colour image segmentation algorithm which uses multiscale edge information and spatial colour content. The multiscale edge information is extracted using the dual-tree complex wavelet transform.
Tjahjadi, Tardi, Çelik, Turgay
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Evolutionary image segmentation [PDF]
We describe an approach to image segmentation based on a two-layer module that is executed until a good segmentation is achieved, providing an evolution of previous segmentation results at each execution. The first layer performs a global segmentation of an image of decreasing area at each evolution by adopting a genetic algorithm learning technique to
Primo Zingaretti +2 more
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Image segmentation with a multilevel threshold using backtracking search optimization algorithm
Image segmentation is an important process in image processing. Though, there are many applications are affected by the segmentation methods and algorithms, unfortunately, not one technique, but the threshold is the popular one.
Hather Ibraheem Abed
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An Image Segmentation Method for Global Vision Robot Fish Competition
Image segmentation is a key link of vision system of the global vision bionic robot fish, and a precondition of target localization and tracking. In this paper, we propose a visual threshold method for color image segmentation.
Jia Yifan, Li Juanjuan, Hu Liang
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Brain tumor segmentation based on a hybrid clustering technique
Image segmentation refers to the process of partitioning an image into mutually exclusive regions. It can be considered as the most essential and crucial process for facilitating the delineation, characterization, and visualization of regions of interest
Eman Abdel-Maksoud +2 more
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Survey of Image Semantic Segmentation Methods Based on Deep Neural Network
Image semantic segmentation is a hot research topic in the field of computer vision in recent years. With the rise of deep learning technology, image semantic segmentation and deep learning technology are integrated and developed, which has made ...
XU Hui, ZHU Yuhua, ZHEN Tong, LI Zhihui
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Multiple Image Segmentation [PDF]
We propose a method for the simultaneous construction of multiple segmentations of images by combining a recently proposed “convolution of mixtures of Gaussians” model with a multi-layer hidden Markov random field structure. The resulting method constructs for a single image several, alternative segmentations that capture different structural elements ...
Jonathan Smets, Manfred Jaeger
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