Binary and grayscale mathematical morphology have many applications in different area. On the other hand, colour morphology is not widespread. The reason is the lack of a unique ordering of colour that makes the extension of grayscale morphology to colour images not straightforward. We will introduce a new majority sorting scheme that can be applied on binary, grayscale and colour images. It is...

One-step gray-tone lithography is the most effective approach to making three-dimensional (3D) micro-optical elements (MOEs). Metal-transparent-metallic-oxide (MTMO) grayscale masks are novel and quite cost effective. In this paper, through the successful fabrication of 3D SiO(2) MOEs by gray-tone lithography and reactive ion etching, we thoroughly investigate the practical technique needs of M...

Method: A continuous non-contact scanning method is used in the rectangular slot defect in the different regions of the weld by using a new magnetization system that is vertical to the travelling direction. The characteristics of the weld and the defect are transformed into accurate two-dimensional grayscale graphics through grayscale linear transformation. This is done through the combination ...

Image encryption based on elliptic curve cryptosystem and reducing its complexity is still being actively researched. Generating matrix for algorithm secret key together with Hilbert will be involved in this study. For a first case we need not to compute the inverse decryption processing cause that generated step was self invertible matrix. While second case, computing required. Peak signal noi...

The current imaging methods for the prostate cancer diagnosis are complicated and partially invasive. Therefore, a key challenge for prostate cancer detection is to use a simple and non-invasive method. Imaging plays a crucial role in the non-invasive identification, localization and grading of prostate carcinoma. In this paper, we demonstrate the possibility using of polarized a near infrared ...

Large Deformation Diffeomorphic Metric Mapping (LDDMM) is a widely used deformable registration algorithm for computing smooth invertible maps between various types of anatomical shapes such as landmarks, curves, surfaces or images. In this work, we specifically focus on the case of images and adopt an optimal control point of view so as to extend the original LDDMM with Sum of Squared Differen...