Xª²ray medical image enhancement and histogram processing methods based on Matlab

    YUAN Liª²Ting1,2, QIU Liª²Jun1

    1Department of Biomedical Engineering, Fourth Military Medical University, Xi¬ðan 710033, China, 2Chinese PLA 159 Central Hospital, Zhumadian 463000, China

    ¡¾Abstract¡¿ AIM: To improve the quality of medical image by enhancing the lowª²contrast details. METHODS: Two processing methods, the grayª²level histogram equalization and the grayª²level histogram regulation, were applied to enhance an Xª²ray image and their enhancement effects were compared by using Matlab toolbox functions. RESULTS: By the two means of algorithmª²histogram equalization or regulation, the dense grayª²level distribution of the original image became sparse, and the output image was refined. The regulation method strengthened the difficultly observed details, while the equalization method improved less the local details of image. CONCLUSION: Matlab toolbox is helpful for simplifying the programming and provides a platform for medical image processing. The regulation method is better than the equalization method in presenting the local details of medical images. ......