Enhancement of subtle signs in mammograms using multiscale morphological approach

Kamra, Amit; Jain, Vibha

doi:10.1109/pht.2013.6461283

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…Kamra and Jain [9] explained that there are various instrumental techniques for the enhancement which are helpful for the radiologists to detect and diagnose subtle signs in mammograms with more accuracy and reliability. In their paper, they have suggested a morphological based enhancement for the enhancement of distorted architecture consisting of subtle signs.…”

Section: Morphological Operationsmentioning

confidence: 99%

A Review on Various Enhancement Techniques for Mammograms

Chahal¹,

Panag²

2015

IJCA

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Breast cancer has emerged as a health problem is today's world. There are many reasons for the occurrence of breast cancer. Early detection of the breast cancer is important for the proper treatment at the right time. There are many techniques to detect the breast cancer. But the best known is the mammography. Mammography is a low beam x-ray, so for the detection of the cancerous masses contrast enhancement is must in mammography. In this paper we are discussing some of the contrast enhancement techniques used in the mammograms.

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Section: Morphological Operationsmentioning

confidence: 99%

A Review on Various Enhancement Techniques for Mammograms

Chahal¹,

Panag²

2015

IJCA

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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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“…Morphological methods generally include exploring of complete image by a structuring element and at each coordinates the structuring element performs some operation with the neighboring elements [130]. These methods use mathematical principles and relationships between categories to extract the components of an image, which are useful in describing the shape of regions [112].…”

Section: Morphological Approachesmentioning

confidence: 99%

Upper airways segmentation using principal curvatures

Medina¹

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Esta tesis propone una nueva técnica para segmentar las vías aéreas superiores. Esta propuesta permite la extracción de estructuras curvilíneas usando curvaturas principales. La propuesta permite la extracción de éstas estructuras en imágenes 2D y 3D. Entre las principales novedades se encuentra la propuesta de un nuevo criterio de parada en la propagación del algoritmo de realce de contraste (operador multi-escala de tipo sombrero alto). De la misma forma, el criterio de parada propuesto es usado para detener los algoritmos de difusión anisotrópica. Además, un nuevo criterio es propuesto para seleccionar las curvaturas principales que conforman las estructuras curvilíneas, que se basa en los criterios propuestos por Steger, Deng et. al. y Armande et. al. Además, se propone un nuevo algoritmo para realizar la supresión de nomáximos que permite reducir la presencia de discontinuidades en el borde de las estructuras curvilíneas. Para extraer los bordes de las estructuras curvilíneas, se utiliza un algoritmo de enlace que incluye un nuevo criterio de distancia para reducir la aparición de agujeros en la estructura final. Finalmente, con base en los resultados obtenidos, se utiliza un algoritmo morfológico para cerrar los agujeros y se aplica un algoritmo de crecimiento de regiones para obtener la segmentación final de las vías respiratorias superiores.

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Enhancement of subtle signs in mammograms using multiscale morphological approach

Cited by 5 publications

References 21 publications

A Review on Various Enhancement Techniques for Mammograms

A Review on Various Enhancement Techniques for Mammograms

Dermoscopy Images Enhancement via Multi-Scale Morphological Operations

Upper airways segmentation using principal curvatures

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