Preface In the past nine months, I carried out my the final year project of KTH international master's in SoC (System-on-Chip) at NXP Semiconductors Research (NXP), the Netherlands. Thanks to my supervisors, Prof. Axel Jantsch in KTH and Senior Scientist Tomas Henriksson in NXP. Also thanks to Pieter van der Wolf and Bram Riemens in NXP. During my internship they gave me a lot of help on the te...

Multispectral images have lower spatial resolution than RGB images. It is difficult to obtain multispectral with both high and spectral because of expensive capture setup sophisticated acquisition processes. In this paper, we propose a deep neural network structure based on U-Net convert ordinary into resolution. Our variant not only preserves detailed features images, but also promotes the fus...

This paper compares the use of RGB and HSV histograms during the execution of an Evolutionary Algorithm. This algorithm generates abstract images that try to match the histograms of a target image. Three different fitness functions have been used to compare: the differences between the individual with the RGB histogram of the test image, the HSV histogram, and an average of the two histograms a...

The proposed encryption algorithm is composed of two parts, permutation and diffusion. we firstly separate the RGB image into R, G, B components, and Generate three chaotic sequences by chaotic maps to encryption. Then, transform the R, G, B components and the chaotic sequences into DNA code, and get DNA sequences matrix. Secondly, DNA matrices of the RGB image is permutated under the Chen’s hy...

INTRODUCTION The colored ultrasound images can better highlight the joint echotexture damage. OBJECTIVE To detect echotexture changes in joints of patients with rheumatic diseases, through a color histogram, and to correlate the area measurements with the gray scale (GS). METHODS Four patients with chondrocalcinosis, 5 patients with osteoarthritis and 1 patient with psoriatic arthritis were...

Indoor environment is a common scene in our everyday life, and detecting and tracking multiple targets in this environment is a key component for many applications. However, this task still remains challenging due to limited space, intrinsic target appearance variation, e.g. full or partial occlusion, large pose deformation, and scale change. In the proposed approach, we give a novel framework ...

This paper presents an optimum color conversion from the 3D RGB space into a 2D selected space to the purpose of pattern recognition. The method is based on the Karhunen-Loève transform (KLT), also known as Principal Component Analysis (PCA). The resulted 2D space is defined by the two color components (called C1 and C2), corresponding to the two largest eigenvalues of the RGB pixel covariance ...

An objective method of measurement of a human skin pigmentation based on different reflections of visual light is proposed. The white light source lights up å segment of a skin that reflects specific vawes spectrum. It is possible to measure this normally by using spectroscoping methods I1l. In our method the Panasonic handy camcorder A3 was used for recording a selected segrnent of the skin to...

In order to research the problem of the gray edge and leaving out some edges during detecting the color edges, the color contrast enhancement algorithm is designed that it dependences on decomposing the interrelated color component of the color images based on RGB color model. And the edge detection improved method is proposed based on the above algorithm. Namely, the components edges are compu...

In this paper, we developed a novel approach that provides effective and robust segmentation of color images. It preprocesses an image by converting color information from RGB to CIE L*a*b* color spaces that CIE L*a*b* color spaces can express color in a device-independent way. CIE L*a*b* color space is better suited to digital image manipulations than the RGB space, because it had removed corr...