2018 · 24 citations · 10 references
MedicineOrthopedic SurgeryRadiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyImage EnhancementImage QualityMedical ImagingMusculoskeletal RadiographyRadiographic ImagingSpine ImagingAdaptive Histogram EqualizationContrast EnhancementContrast-limited Adaptive Histogram EqualizationDigital Image EnhancementHistogram EqualizationImage Detail EnhancementLumbar Spine ImagingSpine Radiography
A preprocessing technique is an essential in image processing. It enhances details of the image including edges before continuing further image processing. In this work, we compare three image enhancement methods for improving the contrast and details of the X-ray images that are needed for medical diagnosis subsequently. The image enhancement methods including Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE), Histogram Equalization (HE), and Contrast Limited Adaptive Histogram Equalization (CLAHE) were performed for purpose. Comparison of enhancing results are discussed. In this experiment, the results from the enhanced lumbar spine X-ray images show that the CLAHE technique is a technique that delivers excellent details and contrast among the other techniques.
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Brightness preserving dynamic fuzzy histogram equalization
Debdoot Sheet, Hrushikesh Garud, Amit Suveer et al. · IEEE Transactions on Consumer Electronics · 2010 · 387 citations
Automatic Contrast-Limited Adaptive Histogram Equalization With Dual Gamma Correction
Yakun Chang, Cheolkon Jung, Ke Peng et al. · IEEE Access · 2018 · 313 citations · Full text
Image enhancement on digital x-ray images using N-CLAHE
Kitti Koonsanit, Saowapak S. Thongvigitmanee, Napapong Pongnapang et al. · 2017 · 106 citations
Automatic Classification System for Lumbar Spine X-ray Images
Soontharee Koompairojn, K.A. Hua, C. Bhadrakom · 2006 · 21 citations · Full text