Image Enhancement Technique based on Power-Law Transformation of Cumulative Distribution Function

Yelmanov, Sergei; Hranovska, Olena; Romanyshyn, Yuriy

doi:10.1109/aiact.2019.8847876

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…With details, the input image will be processed to obtain the components of RGB color spaces, this step can be considered as a preprocessing step to move on to the next step which is applying CLAHE [4] on each one of the three components in RGB. CLAHE is based on the following procedure [24]: divide the input image into several non-overlapping small and equal-size regions, calculate histogram for each region, obtain clip limit for clipping histograms based on contrast expansion, redistribution step will be achieved by preventing all histogram values from exceeding the clip limit. Use the cumulative distribution function (CDF) [25].…”

Section: Methodsmentioning

confidence: 99%

Nested approach for X-ray image enhancement based on contrast adaptive using histogram equalization

Satea

2023

IJEECS

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Medical image enhancement is a topic of great interest to researchers due to the rapid evolution of technology and advancements in communication. There are many types of medical images such as X-ray images, computed tomography (CT) scans, magnetic resonance imaging (MRI) scans, ultrasound images, positron emission tomography (PET) scans, single photon emission computed tomography (SPECT) scans, digital radiography images, mammography images and Fluoroscopy images. X-ray imaging is a valuable tool for diagnosis, monitoring, and treatment of many medical conditions, and its non-invasive, widely available, low cost and fast nature makes it a popular choice for many medical professionals. The proposed approach presents an algorithm for enhancing X-ray images, improving their visual appearance and making their content more useful and meaningful. The results of the algorithm show that enhanced images have a more natural look and provide accurate details of the objects in the X-ray images. Overall, this algorithm can aid in the diagnostic process by providing clearer and more detailed images for medical professionals to interpret.

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Section: Methodsmentioning

confidence: 99%

Nested approach for X-ray image enhancement based on contrast adaptive using histogram equalization

Satea

2023

IJEECS

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“…The Power-Law method [ 30 ] can increase or decrease the brightness of the UI to varying degrees by adjusting c and gamma, but the challenge when using this method is to find the optimal c and gamma. A process of trial and error is used here.…”

Section: Methodsmentioning

confidence: 99%

“…where CI is the Candidate Image (CI), U I is the Unadjusted Image (U I), c is a constant (positive number), and γ is the gamma constant (positive number). The Power-Law method [30] can increase or decrease the brightness of the UI to varying degrees by adjusting c and gamma, but the challenge when using this method is to find the optimal c and gamma. A process of trial and error is used here.…”

Section: Energy Calculation and Illumination Adjustment Processmentioning

confidence: 99%

Developing a Colorimetric Equation and a Colorimetric Model to Create a Smartphone Application That Identifies the Ripening Stage of Lady Finger Bananas in Thailand

Tanut,

Tatomwong,

Buachard

2023

Sensors

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This article develops a colorimetric equation and a colorimetric model to create a smartphone application that identifies the ripening stage of the lady finger banana (LFB) (Musa AA group ‘Kluai Khai’, กล้วยไข่ “gluay kai” in Thai). The mobile application photographs an LFB, automatically analyzes the color of the banana, and tells the user the number of days until the banana ripens and the number of days the banana will remain edible. The application is called the Automatic Banana Ripeness Indicator (ABRI, pronounced like “Aubrey”), and the rapid analysis that it provides is useful to anyone involved in the storage and distribution of bananas. The colorimetric equation interprets the skin color with the CIE L*a*b* color model in conjunction with the Pythagorean theorem. The colorimetric model has three parts. First, COCO-SSD object detection locates and identifies the banana in the image. Second, the Automatic Power-Law Transformation, developed here, adjusts the illumination to a standard derived from the average of a set of laboratory images. After removing the image background and converting the image to L*a*b*, the data are sent to the colorimetric equation to calculate the ripening stage. Results show that ABRI correctly detects a banana with 91.45% accuracy and the Automatic Power-Law Transformation correctly adjusts the image illumination with 95.72% accuracy. The colorimetric equation correctly identifies the ripening stage of all incoming images. ABRI is thus an accurate and robust tool that quickly, conveniently, and reliably provides the user with any LFB’s ripening stage and the remaining days for consumption.

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Development of semiautomatic application prototype to identify g-banded normal human karyotype by size

Maulia

Karsch

Tan

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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Karyotype is a complete image of chromosomes arranged in accordance with the length, number, shape, and band of an individual cell’s chromosomes. Generally, the karyotype is performed by taking the chromosome image at metaphase, cutting out, and identifying each chromosome image based on G-banded manually. This process consumes a lot of time, energy, and inconsistency result. Therefore, it is necessary to develop an application which helps the karyotyping process automatically or at least semi-automatically. In this experiment, we proposed a semi-automatic karyotyping process by utilizing image processing techniques of normal human karyotype. The development of semiautomatic application prototype includes three steps, they were preprocessed chromosome image, featured extraction of chromosome image, and utilized tools to facilitate the users. The methods used in preprocessed chromosome image are gamma enhancement, bilateral filtering, adaptive thresholding, and flood-fill algorithms. The featured extraction of chromosome image is used to extract the morphological features, which will measure the chromosome based on length and pair of chromosomes using skeletonize method. Functionality, tools join and cut for users to modify the results of segmentation chromosome image has been successfully created. Based on the analytical result, it can be concluded that the proposed method can provide a relatively good representation of the chromosomes to assist the further chromosome analysis process.

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Image Enhancement Technique based on Power-Law Transformation of Cumulative Distribution Function

Cited by 3 publications

References 2 publications

Nested approach for X-ray image enhancement based on contrast adaptive using histogram equalization

Nested approach for X-ray image enhancement based on contrast adaptive using histogram equalization

Developing a Colorimetric Equation and a Colorimetric Model to Create a Smartphone Application That Identifies the Ripening Stage of Lady Finger Bananas in Thailand

Development of semiautomatic application prototype to identify g-banded normal human karyotype by size

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