Gotowe bibliografie tematyczne / Brightness preserving fuzzy histogram equalization

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Gotowa bibliografia na temat „Brightness preserving fuzzy histogram equalization”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Brightness preserving fuzzy histogram equalization"

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Sheet, Debdoot, Hrushikesh Garud, Amit Suveer, Manjunatha Mahadevappa, and Jyotirmoy Chatterjee. "Brightness preserving dynamic fuzzy histogram equalization." IEEE Transactions on Consumer Electronics 56, no. 4 (2010): 2475–80. http://dx.doi.org/10.1109/tce.2010.5681130.

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Magudeeswaran, V., and C. G. Ravichandran. "Fuzzy Logic-Based Histogram Equalization for Image Contrast Enhancement." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/891864.

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Fuzzy logic-based histogram equalization (FHE) is proposed for image contrast enhancement. The FHE consists of two stages. First, fuzzy histogram is computed based on fuzzy set theory to handle the inexactness of gray level values in a better way compared to classical crisp histograms. In the second stage, the fuzzy histogram is divided into two subhistograms based on the median value of the original image and then equalizes them independently to preserve image brightness. The qualitative and quantitative analyses of proposed FHE algorithm are evaluated using two well-known parameters like ave
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Subramani, Bharath, and Magudeeswaran Veluchamy. "MRI brain image enhancement using brightness preserving adaptive fuzzy histogram equalization." International Journal of Imaging Systems and Technology 28, no. 3 (2018): 217–22. http://dx.doi.org/10.1002/ima.22272.

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Sreya, John, and Leena Rose Peter Joseph Arul. "Preprocessing of leaf images using brightness preserving dynamic fuzzy histogram equalization technique." International Journal of Artificial Intelligence (IJ-AI) 12, no. 3 (2023): 1149–57. https://doi.org/10.11591/ijai.v12.i3.pp1149-1157.

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Agriculture serves as the backbone of many countries. It provides food and other essential materials as per our requirement. Various kinds of diseases are affecting the agricultural crops which in turn reduce the quantity and quality of the agricultural sector. This can also lead to the decrease in food production thereby affecting the economic growth and development. Even though the symptoms and other impacts of the diseases are outwardly visible, manual identification of diseases and rectification is a tedious and time-consuming process. Therefore, detecting the diseases using an automatic c
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John, Sreya, and Arul Leena Rose Peter Joseph. "Preprocessing of leaf images using brightness preserving dynamic fuzzy histogram equalization technique." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 3 (2023): 1149. http://dx.doi.org/10.11591/ijai.v12.i3.pp1149-1157.

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Agriculture serves as the backbone of many countries. It provides food and other essential materials as per our requirement. Various kinds of diseases are affecting the agricultural crops which in turn reduce the quantity and quality of the agricultural sector. This can also lead to the decrease in food production thereby affecting the economic growth and development. Even though the symptoms and other impacts of the diseases are outwardly visible, manual identification of diseases and rectification is a tedious and time-consuming process. Therefore, detecting the diseases using an automatic c
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Magudeeswaran, V., C. G. Ravichandran, and P. Thirumurugan. "Brightness preserving bi-level fuzzy histogram equalization for MRI brain image contrast enhancement." International Journal of Imaging Systems and Technology 27, no. 2 (2017): 153–61. http://dx.doi.org/10.1002/ima.22219.

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Showkat, Er Eyenan, and Dr Gurinder Kaur Sodhi. "Image enhancement in wavelet domain using histogram equalization and median filters." International Journal of Innovative Research in Computer Science & Technology 11, no. 1 (2023): 25–31. http://dx.doi.org/10.55524/ijircst.2023.11.1.6.

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Image enhancement is one of the challenging but crucial methods that is employed in image processing technology for enhancing the visual appearance of images. This paper presents an effective and efficient image enhancement model in which Non Local mean (NLM) filter is used along with Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE) and Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE) techniques. The primary objective of the proposed image enhancement model is to enhance the quality of images by reducing the noise effect in them. To do so, we have selected f
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Er., Eyenan Showkat, and Gurinder Kaur Sodhi Dr. "Image enhancement in wavelet domain using histogram equalization and median filters." International Journal of Innovative Research in Computer Science & Technology (IJIRCST) 11, no. 1 (2023): 25–31. https://doi.org/10.5281/zenodo.7660937.

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Image enhancement is one of the challenging but crucial methods that is employed in image processing technology for enhancing the visual appearance of images. This paper presents an effective and efficient image enhancement model in which Non Local mean (NLM) filter is used along with Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE) and Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE) techniques. The primary objective of the proposed image enhancement model is to enhance the quality of images by reducing the noise effect in them. To do so, we have selected f
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Hajri, Sarra, Fathi Kallel, Ahmed Ben Hamida, and Amine Nait-Ali. "Finger-knuckle-print image enhancement based on brightness preserving dynamic fuzzy histogram equalization and filtering process." Journal of Electronic Imaging 27, no. 03 (2018): 1. http://dx.doi.org/10.1117/1.jei.27.3.033035.

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Jenifer, Sheeba, S. Parasuraman, and Amudha Kadirvelu. "Contrast enhancement and brightness preserving of digital mammograms using fuzzy clipped contrast-limited adaptive histogram equalization algorithm." Applied Soft Computing 42 (May 2016): 167–77. http://dx.doi.org/10.1016/j.asoc.2016.01.039.

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Części książek na temat "Brightness preserving fuzzy histogram equalization"

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Premi, M. S. Godwin, E. Logashanmugam, Manoj Kumar Gupta, V. Vijaya Baskar, and Sunil Susmithan. "Contrast Limited Brightness Preserving Dynamic Fuzzy Histogram Equalization Technique for Enhancement of Steady State Tokamak Plasma Images." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3951-8_70.

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Farhan Khan, Mohd, Ekram Khan, and Z. A. Abbasi. "Multi Segment Histogram Equalization for Brightness Preserving Contrast Enhancement." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30157-5_20.

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Wang, Haifeng, and Yi Zhang. "Image Enhancement Algorithm Using Brightness Preserving Multiple-Interval Histogram Equalization." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35567-7_78.

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Sarada, C. S., and M. Wilscy. "A Brightness Preserving Contrast Enhancement Method Based on Clipped Histogram Equalization." In Lecture Notes in Electrical Engineering. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1000-9_5.

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Escorcia-Gutierrez José, Torrents-Barrena Jordina, Romero-Aroca Pedro, Valls Aida, and Puig Domènec. "Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-696-5-39.

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Diabetic Retinopathy (DR) has become nowadays a considerable world-wide threat due to increased growth of blind people at early ages. From the engineering viewpoint, the detection of DR pathologies (microaneurysms, hemorrhages and exudates) through computer vision techniques is of prime importance in medical assistance. Such methodologies outperform traditional screening of retinal color fundus images. Moreover, the identification of landmark features as the optic disk (OD), fovea and retinal vessels is a key pre-processing step to detect the aforementioned potential pathologies. In the same v
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Dhal, Krishna Gopal, Mandira Sen, Swarnajit Ray, and Sanjoy Das. "Multi-Thresholded Histogram Equalization Based on Parameterless Artificial Bee Colony." In Incorporating Nature-Inspired Paradigms in Computational Applications. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5020-4.ch004.

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This chapter presents a novel variant of histogram equalization (HE) method called multi-thresholded histogram equalization (MTHE), depending on entropy-based multi-level thresholding-based segmentation. It is reported that proper segmentation of the histogram significantly assists the HE variants to maintain the original brightness of the image, which is one of the main criterion of the consumer electronics field. Multi-separation-based HE variants are also very effective for multi-modal histogram-based images. But, proper multi-seaparation of the histogram increases the computational time of
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Bhimavarapu, Usharani. "Fashion Product Recommendation Systems." In Sustainable Futures With Life Cycle Assessment in Industry 5.0. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9346-8.ch012.

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A comprehensive fashion product image dataset comprising 40,000 images was curated, encompassing six major categories such as apparel, accessories, footwear, personal care, and sporting goods, along with 44 subcategories like top wear, shoes, bags, and belts. Preprocessing techniques, including Gaussian Laplace distribution and Contrast Limited Adaptive Histogram Equalization (CLAHE), were employed to enhance image quality by emphasizing key features and improving contrast. Feature extraction was conducted using Particle Swarm Optimization (PSO), which efficiently reduced dimensionality by sel
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Streszczenia konferencji na temat "Brightness preserving fuzzy histogram equalization"

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Yao, Zhijun, Zhongyuan Lai, and Chun Wang. "Brightness preserving and non-parametric modified bi-histogram equalization for image enhancement." In 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2016. http://dx.doi.org/10.1109/fskd.2016.7603464.

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Tanaka, Hideaki, and Akira Taguchi. "Brightness Preserving Generalized Histogram Equalization." In TENCON 2020 - 2020 IEEE REGION 10 CONFERENCE (TENCON). IEEE, 2020. http://dx.doi.org/10.1109/tencon50793.2020.9293837.

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Shen, Hongying, Shuifa Sun, Bangjun Lei, and Sheng Zheng. "An adaptive brightness preserving bi-histogram equalization." In Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), edited by Jianguo Liu, Mingyue Ding, and Zhong Chen. SPIE, 2011. http://dx.doi.org/10.1117/12.902215.

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Moniruzzaman, Md, Md Shafuzzaman, and Md Foisal Hossain. "Brightness preserving Bi-histogram equalization using edge pixels information." In 2013 International Conference on Electrical Information and Communication Technology (EICT). IEEE, 2014. http://dx.doi.org/10.1109/eict.2014.6777872.

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Yang, Fan, and Renjie Li. "An Improved Method for Brightness Preserving Dynamic Histogram Equalization." In 2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT). IEEE, 2022. http://dx.doi.org/10.1109/aicit55386.2022.9930196.

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Chauhan, Ritu, and Sarita Singh Bhadoria. "An Improved Image Contrast Enhancement Based on Histogram Equalization and Brightness Preserving Weight Clustering Histogram Equalization." In 2011 International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2011. http://dx.doi.org/10.1109/csnt.2011.128.

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Khan, Mohd Farhan, Ekram Khan, and Z. A. Abbasi. "Weighted average multi segment histogram equalization for brightness preserving contrast enhancement." In 2012 IEEE International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2012. http://dx.doi.org/10.1109/ispcc.2012.6224340.

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Yao, Zhijun, Zhongyuan Lai, Chun Wang, and Wu Xia. "Brightness preserving and contrast limited bi-histogram equalization for image enhancement." In 2016 3rd International Conference on Systems and Informatics (ICSAI). IEEE, 2016. http://dx.doi.org/10.1109/icsai.2016.7811072.

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Huynh-The, Thien, and Thuong Le-Tien. "Brightness preserving weighted dynamic range histogram equalization for image contrast enhancement." In 2013 International Conference on Advanced Technologies for Communications (ATC 2013). IEEE, 2013. http://dx.doi.org/10.1109/atc.2013.6698142.

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Rout, Susanta Kumar, Mrutyunjaya Sahani, and Mihir Narayan Mohanty. "Modified Color Brightness Preserving Bi-histogram Equalization with Variable Enhancement Degree for Restoration of Skin Color." In 2015 International Conference on Information Technology (ICIT). IEEE, 2015. http://dx.doi.org/10.1109/icit.2015.42.

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