An Improved Method for Edge Detection and Image Segmentation Using Fuzzy Cellular Automata

Shahverdi, Reza; Tavana, Madjid; Ebrahimnejad, Ali; Zahedi, Khadijeh; Omranpour, Hesam

doi:10.1080/01969722.2016.1140466

Cited by 11 publications

(2 citation statements)

References 17 publications

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“…The proposed method aims to design an adaptive and efficient tracking algorithm so as not to compare the efficiency of the deep-learning-based method. The subsequent study will be compared with the tracking algorithm based on deep learning, and the proposed method will be combined with deep learning and other advanced methods such as fuzzy systems [7,8] to further improve the efficiency of tracking.…”

Section: Discussionmentioning

confidence: 99%

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A robust target tracking algorithm based on spatial regularization and adaptive updating model

Chen

Guo

et al. 2022

Complex Intell. Syst.

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The correlation filtering-based target tracking method has impressive tracking performance and computational efficiency. Nevertheless, a few issues limit the accuracy of the correlation filter-based tracking methods including the object deformation, boundary effects, scale variations, and the target occlusion. This article proposes a robust target tracking algorithm to solve these issues. First, a feature fusion method is used to enhance feature response discrimination between the target and others. Second, a spatial weight function is introduced to penalize the magnitude of filter coefficients and an ADMM algorithm is employed to reduce the iteration of filter coefficients when tracking. Third, an adaptive scale filter is designed to make the algorithm adaptable to the scale variations. Finally, the correlation peak average difference ratio is applied to realize the adaptive updating and improve the stability. The experiment’s result demonstrates the proposed algorithm improved tracking results compared to the state-of-the-art correlation filtering-based target tracking method.

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Section: Discussionmentioning

confidence: 99%

“…Poria et al [7] identify important features of rough theory to find a higher accuracy in retrieval results. Reza et al [8] proposed an edge calculation method to solve the problem of the concepts of the fuzzy similarity relation and homogeneity region. Those archived good results.…”

Section: Introductionmentioning

confidence: 99%