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In clinical pathology screening, scoring based on Immunohistochemistry staining ER, PR, Her-2 and Ki-67 are important indicators for evaluations of recurrence risk of breast carcinoma in addition to histological pathology of grading such as scoring based on tubule formation, Pleomorphism, and mitotic count. In this research, we extend the previous research results developed using a series of image...
Color space conversion is a basic and vital subject in digital multimedia procession. As VGA increasingly used in different field, it is important to convert video data to the data form that can show on VGA. In this paper, we design and implement a color space conversion system based on FPGA. Camera is used for capturing video then the captured YCbCr video data can be converted to RGB data after going...
Image composition is a basic process in digital image editing. Its objective is to enable convenient image object copy-and-paste to generate new images which look natural and realistic. Seamless image composition systems often require users to successively choose a rough region of the inserted object and the target location for automatic which is rather tedious for using 2D input devices like mouse...
This paper aims to improve the quality of images in low light conditions. After nonlinear intensity stretching, the enlarged mixed noise is reduced using a newly proposed low rank denoising algorithm. By similar patch stacking, the established noisy matrices are assumed to be composed of low-rank noise free image, sparse random impulse noise and zero-mean Gaussian noise. Minimizing the rank of the...
Texture compression is an important technique to reduce memory storage and increase rendering speed in graphic processing units (GPUs). To ensure fast decoding and retain random memory access characteristics, the industry standard DXTC compression finds an approximate line segment in color space for each 4×4 block. The idea has been extended to multiline solutions by segmenting the 4×4 block into...
This paper investigates the correlation between color quality and energy efficiency of indoor lighting control. The color quality, in terms of visual performance and comfort, is quantified using three measurements: illuminance, Color Rendering Index, and Correlated Color Temperature. Several experiments have been conducted to evaluate the potential energy savings of using different portions of light...
This article looks at combining the Curvature Scale Space (CSS) shape matching algorithm and the Watershed Algorithm with the aim of creating a simple yet effective leaf identification software. The CSS shape matching algorithm solves the problems of: • Leaf self-intersection — Parts of a leaf overlap. • Leaf rotation — Images that are rotated. • Leaf variation — No two leaves are the same. The Watershed...
For plate detection, we found that when the plate is disturbed by complex upright borderlines, location can be inaccurate or even missed. On the basis of this, a new vehicle license plate location algorithm based on salient feature is introduced. It makes use of the texture feature, geometric characteristics and color information. By raw location and precise location, it can quickly locate the license...
The problem of recognizing multiple object classes in natural images has proven to be a difficult challenge for compute vision. It is reasonable to look to biology for inspiration, a novel multiclass object recognition algorithm based on a biologically inspired model named ST model is proposed. ST model is based on the theory of biological neurology, which calculates object features that exhibit position...
Gastroscopy is important tool for the clinical examination of gastric diseases, and the abnormality detection on the gastroscopic images will help physicians to diagnose. An improved patches assembled by local weights is presented in this paper. First, a series of classifiers on image patches with different sizes have been analyzed to find the suitable size. The boosted stumps are employed as the...
Gastroscope is important in gastric cancer diagnosis. However, the specular reflection is common existed in the gastroscope images and it's easily confused with ulcer. In this paper we develop a method for detecting specular reflection in gastroscopic images. First the Intensity-Saturation joint distribution of region of interest (ROI) is obtained in HSI color space. Then based on the analysis of...
This paper has accomplished an improved local accumulate histogram method of Thangka Image Retrieval. First, change the color space from RGB to HSV and divide similar area by the value of the hue reasonably, then it can get six similar intervals which the hue (H) is independent of the value (V) (Saturation (S) is assumed a constant in the beginning). Second, accumulate histogram is applied respectively...
Gastroscopy is widely used for the clinical examination of gastric diseases. The computerized methods capable to detect abnormal regions can help the physicians to identify the suspicious regions in gastroscopic images. The patch-based technique with the boosted stumps is adopted to detect all kinds of abnormalities in this paper. Considering that the responses of patch classifiers on the neighboring...
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