Local dynamic range compensation for scanning electron microscope imaging system

Sim, K. S.; Huang, Yonggang

doi:10.1002/sca.21226

Cited by 2 publications

(2 citation statements)

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“…These features are then used to produce the resulting image. Furthermore, Sim and Huang () introduced an improved version of a dynamic range histogram modification technique to stretch the dynamic range devoid of altering its histogram. Afterwards, Sim, Teh, Tey, and Kho () proposed a subblocking multiple‐peak histogram equalization technique, which works by sampling the input image then normalizing it to get the local information.…”

Section: Related Workmentioning

confidence: 99%

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An improved contrast equalization technique for contrast enhancement in scanning electron microscopy images

Al-Ameen

2018

Microscopy Res & Technique

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In scanning electron microscopy (SEM), an intensive beam of electrons is utilized to generate high-quality images that can be used across scientific disciplines including biology and medicine. However, the images produced by different SEM devices are often degraded by a low-contrast effect as a result of various existing limitations. Hence, an improved contrast equalization technique is proposed in this article to ameliorate the contrast of SEM images and provide better visual quality results. The proposed technique consists of two major phases; the first includes a two-step regularization process used to regularize the intensities of the input image, while the second includes a two-step mapping process used to further improve the contrast and to remap image intensities to their natural dynamic range. The proposed technique is tested with many real-degraded and synthetic-degraded SEM images, and its results are compared with six well-known contrast enhancement techniques. Accordingly, the comparison results are evaluated using four advanced image quality assessment metrics. Intensive experiments and comparisons exhibited the favorability of the proposed technique, in that it provided visually pleasing results with no visible flaws and outperformed the comparison techniques in terms of perceived quality and scored accuracy.

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Section: Related Workmentioning

confidence: 99%

“…These features are then used to produce the resulting image. Furthermore, Sim and Huang (2015) introduced an improved version of a dynamic range histogram modification technique to stretch the dynamic range devoid of altering its histogram.…”

Section: Related Workmentioning

confidence: 99%

An improved contrast equalization technique for contrast enhancement in scanning electron microscopy images

Al-Ameen

2018

Microscopy Res & Technique

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MRI Brain Image Enhancement Using an Improved Contrast Enhancement Method

Lakshmi¹,

Satynarayana²,

Mohanaiah³

2021

revistageintec

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The uncontrollable cells growth in the brain portion is the main reason for cancer deaths nowadays. So, effective detection of brain tumors is more important in the medical field to analyze the tumor portion. Detecting tumors prior and diagnosis of tumors can play a major role in preventing human death due to brain tumors. To detect the tumor portion, many segmentation and classification methods have been proposed. For the effect segmentation process, enhancing brain images is necessary. In this present paper, Magnetic resonance imaging (MRI) brain images have been taken as test images. The proposed enhancement method has two major phases. The first phase contains a regularization process in two steps to equalize the test images' intensities, and the second phase contains a mapping process of two steps to enhance the contrast of the image and remap their intensity values to the natural dynamic range.

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Local dynamic range compensation for scanning electron microscope imaging system

Cited by 2 publications

References 5 publications

An improved contrast equalization technique for contrast enhancement in scanning electron microscopy images

An improved contrast equalization technique for contrast enhancement in scanning electron microscopy images

MRI Brain Image Enhancement Using an Improved Contrast Enhancement Method

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