Enhancement of medical images using Kalman filter

Pandey, Pranshu; Jain, Sarika; Khatri, Sunil Kumar

doi:10.1109/icrito.2017.8342502

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…However, the performances of these methods are not satisfactory. Techniques like, Kalman Filters, Hessian Based Filters (HBF) were also used, yet they have disadvantages such as differing variance, bad or fluctuating reaction for images of different sizes (Jerman et al 2016;Pandey et al 2017).…”

Section: Image Denoisingmentioning

confidence: 99%

A Hybrid Moth-Flame Optimization Technique for Feature Selection in Brain Image Classification and Image Denoising by Improved Log Gabor Filter

Diaz¹,

Jiju²

2022

International Journal of Computer Vision and Image Processing

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In brain image classification, feature set reduction is essential to build an optimised feature subset that will lead to precise measurement. In this paper, an improved technique for feature selection by Moth Flame Optimization with Opposition Based Learning (OBL) and Simulated Annealing (OB-MFOSA) is proposed. The OBL strategy is used to create the optimum initial solution, while Simulated Annealing improves the search space. The proposed OB-MFOSA shows improved performance than other well-known existing algorithms by eliminating getting stuck in the local optima. By using this hybrid moth flame optimization, the feature set is reduced to 40%. Also, image denoising is performed by Dual Tree Complex Wavelet Transform (DTCWT) with an improved Log Gabor filtering technique. The filter bank of Log Gabor filter bank is tuned by Genetic Algorithm. The selected features from hybrid MFO algorithm are classified using SVM classifier. Experiments reveal that this hybrid algorithm shows accurate classification outputs than the previous methods.

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Section: Image Denoisingmentioning

confidence: 99%

A Hybrid Moth-Flame Optimization Technique for Feature Selection in Brain Image Classification and Image Denoising by Improved Log Gabor Filter

Diaz¹,

Jiju²

2022

International Journal of Computer Vision and Image Processing

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“…Pandey, Jain, and Khatri [5] presented a method of enhancement by using the Kalman filter for enhancing various medical images. The proposed framework consists of several processes, which are colour space conversion, noise addition, and filtering.…”

Section: Previous Workmentioning

confidence: 99%

“…In this study, all the enhancement process was based on one general equation [11]. This equation can be expressed as ( , ) = ( , ) ( , ) * maximum (5) where q(x,y) can be calculated using the expression…”

Section: Image Enhancementmentioning

confidence: 99%

Identification of Suitable Contrast Enhancement Technique for Improving the Quality of Astrocytoma Histopathological Images.

Dzulkifli

2021

ELCVIA

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Contrast enhancement plays an important part in image processing. In histology, the application of a contrast enhancement technique is necessary since it can help pathologists in diagnosing the sample slides by increasing the visibility of the morphological and features of cells in an image. Various techniques have been proposed to enhance the contrast of microscopic images. Thus, this paper aimed to study the effectiveness of contrast enhancement techniques in enhancing the Ki67 images of astrocytoma. Three contrast enhancement techniques consist of contrast stretching, histogram equalization, and CLAHE techniques were proposed to enhance the sample images. The performance of each technique was compared by computing seven quantitative measures. The CLAHE technique was preferred for enhancing the contrast of the astrocytoma images. This technique produces good results especially in contrast enhancement, edge conservation and enhancement, brightness preservation, and minimum distortions to the enhanced images.

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Modified Gabor Filter (MGF) Image Enhancement Approach for Early Detection of Lung Cancer

Avinash¹,

Manjunath²,

Kumar³

2020

Lecture Notes in Electrical Engineering

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Enhancement of medical images using Kalman filter

Cited by 6 publications

References 8 publications

A Hybrid Moth-Flame Optimization Technique for Feature Selection in Brain Image Classification and Image Denoising by Improved Log Gabor Filter

A Hybrid Moth-Flame Optimization Technique for Feature Selection in Brain Image Classification and Image Denoising by Improved Log Gabor Filter

Identification of Suitable Contrast Enhancement Technique for Improving the Quality of Astrocytoma Histopathological Images.

Modified Gabor Filter (MGF) Image Enhancement Approach for Early Detection of Lung Cancer

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