We gave a lecture regarding the principles of endoscopes to students studying medical engineering. The following was the lecture. The light from the light source passed through the rotating RGB filter, and changed to a red, a green, and a blue light, respectively, and these three colored lights illuminated an object. Each light reflected from the object passed through a lens and was received by...

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...

Motivated by the success of Deep Neural Networks in computer vision, we propose a deep Regularized Reconstruction Independent Component Analysis network (RICA) for RGB-D image classification. In each layer of this network, we include a RICA as the basic building block to determine the relationship between the gray-scale and depth images corresponding to the same object or scene. Implementing co...

This paper investigates Y UV -to-RGB color space conversion on FPGA-augmented TriMedia-32 processor. First, we outline the extension of TriMedia-32 architecture consisting of FPGA-based Reconfigurable Functional Units (RFU) and associated generic instructions. Then we analyse a YUV-RGB (RFU–specific) instruction which can process four pixels per call, and propose a scheme to implement the YUV-R...

The use of color in image processing is motivated by two principal factors; First color is a powerful descriptor that often simplifies object identification and extraction from a scene. Second, human can discern thousands of color shades and intensities, compared to about only two dozen shades of gray. In RGB model, each color appears in its primary spectral components of red, green and blue. T...

We collected, examined, and analyzed 368 fish of seven species from 10 sites on rivers of the Rio Grande Basin (RGB) during late 1997 and early 1998 to document temporal and geographic trends in the concentrations of accumulative contaminants and to assess contaminant effects on the fish. Sites were located on the mainstem of the Rio Grande and on the Arroyo Colorado and Pecos River in Texas (T...

Bilinear Heterogeneous Information Machine for RGB-D Action Recognition Report Title This paper proposes a novel approach to action recognition from RGB-D cameras, in which depth features and RGB visual features are jointly used. Rich heterogeneous RGB and depth data are effectively compressed and projected to a learned shared space, in order to reduce noise and capture useful information for r...

In this paper we propose a challenging new computer vision task of inferring Bread Units (BUs) from food images. Assessing nutritional information and nutrient volume from a meal is an important task for diabetes patients. At the moment, diabetes patients learn the assessment of BUs on a scale of one to ten, by learning correspondence of BU and meals from textbooks. We introduce a large scale d...

Integrating multispectral data in object detection, especially visible and infrared images, has received great attention recent years. Since (RGB) (IR) images can provide complementary information to handle light variations, the paired are used many fields, such as pedestrian RGB-IR crowd counting salient detection. Compared with natural we find detection aerial suffers from cross-modal weakly ...