A Note on Gradient-Based Intensity Normalization

Forero, Manuel G.; Arias-Rubio, Carlos; Horta-Júnior, José de Anchieta C.; López, Dolores E.

doi:10.1007/978-3-030-31332-6_14

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Manuel G. Forero et al [6], presented an improvement method of intensity which is used in microscopy, where, images contain similar textures, but the intensity or density may change vividly. Two new profiles are introduced, and the Bhattacharyya distance is employed to find the best matching result, this method is affected with microscopy images with standard size.…”

Section: Introductionmentioning

confidence: 99%

Improving radiographic image contrast using multi layers of histogram equalization technique

Alkhalid

Hasan

Alhamady

2021

IJ-AI

View full text Add to dashboard Cite

<span id="docs-internal-guid-43432eef-7fff-9949-6deb-865191ff0740"><span>Usually, X-ray image has distortion in many parts because it is focusing on bones rather than other, However, when dentist needs to make decision analysis, he does that by using X-ray and many opinions can be judged by looking closely on it like (inflammation, infection, tooth nerve, root of the tooth…). This paper proposes on new suggested technique by applying multilayers of histogram equalization (HE) and contrast limited adaptive histogram equalization (CLAHE) in order to make high contrast of X-ray, this technique provides very satisfied results and smooth intensity which leads to high clear X-ray image, by using Python3 and OpenCV.</span></span>

show abstract

Section: Introductionmentioning

confidence: 99%