A Multiscale Morphological Approach to Local Contrast Enhancement for Ultrasound Images

Peng, Bo; Wang, Yan; Yang, Xiaoxia

doi:10.1109/iccis.2010.282

Cited by 14 publications

(5 citation statements)

References 7 publications

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“…The top-hat transform is a mathematical morphology operation that is used to make improvements in digital images [21]. It is widely used in different applications such as medicine [14,16] and engineering [4,7]. The top-hat transform is defined as follows:…”

Section: Proposed Methods To Image Enhancementmentioning

confidence: 99%

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Image enhancement with mean brightness preservation based on multiscale top-hat transform

Román¹,

Legal-Ayala²,

Noguera³

et al. 2020

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

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Multiscale mathematical morphology is a technique used to improve the visual quality of images. These techniques generally introduce distortions in the process of improvement that cause loss of brightness in the images. In this work a method of contrast improvement and brightness preservation is presented. The method is based on the multiescale top-hat transform. In the top-hat transform two structuring elements of different areas are used, but of similar and flat structures. The evaluation of the proposed method was carried out using 200 images from a public database. The comparison of the proposal was made with other state of the art methods. Numerical and visual results show images with contrast enhancement, natural brightness and moderate distortions.

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Section: Proposed Methods To Image Enhancementmentioning

confidence: 99%

“…The multiscale top-hat transform has been shown to be efficient in improving grayscale images [6,15]. They are also useful in multiple applications such as retina study [14], ultrasound image enhancement [16], infrared image enhancement [4,20], image fusion [7,25] and small object detection [24].…”

Section: Introductionmentioning

confidence: 99%

Image enhancement with mean brightness preservation based on multiscale top-hat transform

Román¹,

Legal-Ayala²,

Noguera³

et al. 2020

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

View full text Add to dashboard Cite

show abstract

“…The top-hat transform is a mathematical morphology operation that is used to make improvements in digital images (SOILLE, 2013). It is widely used in different applications such as medicine (LIAO, 2014;PENG, 2010;ARYA, 2020) and engineering (HAN, 2019).…”

Section: Image Enhancementmentioning

confidence: 99%

Práticas Teatrais Como Organizador Didático-Pedagogico Para O Ensinoaprendizagem Do Conceito De Número

Pereira¹,

Júnior²

2020

Investigação, Construção E Difusão Do Conhecimento Em Matemática

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Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição 4.0 Internacional (CC BY 4.0).O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores, inclusive não representam a posição oficial da Atena Editora. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais. Direitos para esta edição cedidos à Atena Editora pelos autores.

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“…An advantage of MTH is that it allows to process the image content from the most global to the most detailed level. Several works propose to improve different types of medical images by integrating MTH in a morphological based image enhancement approach [10,[17][18][19][20][21][22][23][24]. Currently, in the field of computer vision, MTH-based algorithms are used as a preliminary step for other applications based on artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

Dermoscopy Images Enhancement via Multi-Scale Morphological Operations

et al. 2021

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Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents certain details from being seen in the image. Therefore, it is necessary to design an approach that can enhance the contrast and details of dermoscopic images. In this work, we propose a multi-scale morphological approach to reduce the impacts of lack of contrast and to enhance the quality of the images. By top-hat reconstruction, the local bright and dark features are extracted from the image. The local bright features are added and the dark features are subtracted from the image. In this way, images with higher contrast and detail are obtained. The proposed approach was applied to a database of 236 color images of benign and malignant melanocytic lesions. The results show that the multi-scale morphological approach by reconstruction is a competitive algorithm since it achieved a very satisfactory level of contrast enhancement and detail enhancement in dermoscopy images.

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A Multiscale Morphological Approach to Local Contrast Enhancement for Ultrasound Images

Cited by 14 publications

References 7 publications

Image enhancement with mean brightness preservation based on multiscale top-hat transform

Image enhancement with mean brightness preservation based on multiscale top-hat transform

Práticas Teatrais Como Organizador Didático-Pedagogico Para O Ensinoaprendizagem Do Conceito De Número

Dermoscopy Images Enhancement via Multi-Scale Morphological Operations

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