The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The objective of this research is to develop algorithm to recognize black germ wheat based on image processing. The sample used for this study involved wheat from major producing areas of China. Images of wheat were acquired with a color linear CCD machine vision system. Each image was pre-processed to correct color offset. Then double threshold method was used to segment black germ from background...
In this paper, we study different colour image contrast enhancement algorithms to bring about the comparison between their performance which shows the improvement in the visual quality of the colour images captured under poor illumination and/or other color illumination conditions. The motivation behind this work is to improve the features in the image that are not clearly visible due to the influence...
Facial rejuvenation has driven a lot of research in the field of dermatology and plastic surgery, leading to many medical procedures. This paper proposes an age prediction method that could be used to better understand the ageing process and to evaluate the benefits of a rejuvenating treatment, for example. A supervised Facial Model (SFM) is built using Partial Least Squares regression (PLSR) to capture...
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, using group sparsity. Because of the large variations in image appearance due to changes of illumination, specular reflections and other visual noise, the two classes have a strong overlap in feature space, whether features...
We propose an automatic color segmentation system that (1) incorporates domain knowledge to guide histological image segmentation and (2) normalizes images to reduce sensitivity to batch effects. Color segmentation is an important, yet difficult, component of image-based diagnostic systems. User-interactive guidance by domain experts-i.e., pathologists-often leads to the best color segmentation or...
Observers can use explicit foreknowledge of a feature of an upcoming target to guide search. However, little is known about observers' use of explicit foreknowledge that a specific feature will not match the upcoming target. In a series of experiments, we presented observers with either “ignore” cues that validly indicated the color of a nontarget item (rather than the color of the target item) in...
In computer vision, many applications could greatly benefit from multi-spectral image data. Our aim is to illustrate the effectiveness of multi-spectral analysis obtained from a simple and cost-effective system. While the proposed approach is broadly applicable, in this paper we focus on the specific case of skin detection. To obtain the multi-spectral data, we have assembled a system using multiple...
In this paper we compare different approaches to combine color and statistical texture descriptors. Previous studies on this topic were conducted on natural images only. We focus on the particular case of histological datasets where color plays an important role due to the staining process of the biological samples. We also introduce two new variants of the well-known Local Binary Patterns (LBP) operator...
Microscopy-based diagnosis of certain diseases or infections, e.g. with human papilloma viruses (HPV) for the identification of high risk patients for cervical cancer, relies more and more often on immunocytochemical marker stains. These markers stain cells that exhibit a particular protein. In addition to one or more marker stains, pathologists need to simultaneously assess the morphology of the...
In this paper, we propose a new approach for color textured image segmentation. It is a two stage technique, where in the first stage, textural features using gray level co-occurrence matrix (GLCM) are computed for regions of interest (ROI)considered for each class. ROI act as ground truths for the classes. Ohta model (I1, I2, I3) is the colour model used for segmentation. Mean at inter pixel distance...
In this paper, a new technique for the enhancement of color image using multiscale retinex with modified color restoration has been proposed. The basic steps of multiscale retinex algorithm have been analyzed, modified and various operations are performed in an orderly manner. The enhancement effects are visually effective. In addition, it adds true color constancy to an image. The experimental results...
As presented in this paper, we described the development of a consistent color reproduction software. The consistent color reproduction software was developed for the digital cinema production chain which covers shooting, post-production and screening. The consistent color reproduction software can produce digital cinema images which have minimized average color differences between display devices.
Recently, image processing has been commonly applied to various parts of the vehicle industry. In particular, the use of vehicle cameras gives the driver clear view for occluded regions to the front or rear of the vehicle. However, images from the camera have low visibility at night due to the lack of ambient illumination. To enhance the visibility of images, generic methods using global functions,...
This paper presents a real-time background subtraction method which handles illumination changes and dynamic backgrounds such as flapping flags and waving trees. Previous approaches based on Gaussian mixture models usually generates models pixelwise, which makes it difficult to operate in realtime due to computational complexity. Moreover, pixelwise models tend to fail in sudden illumination changes...
This paper proposes an interactive texture design method to obtain adequate texture patterns for 3D computer graphics shapes. Texture mapping is widely used to improve the visual richness of surface appearances. Designing texture patterns can be a problem to search an adequate pattern for the 3D shapes in the scene physically and psychologically. So it is required to supply intuitive and simple method...
In this paper, an Image Fusion Tool for satellite images is proposed. It is mainly developed to enhance quality of images taken from DubaiSat-1 remote sensing satellite. Two different methods were proposed, one is called Pixel-intensity Fusion (PIF) and the other is Transferred color space Fusion (TCSF). Each technique is presented with two options. Each method is also consisting two approaches. Results...
The objective of this research is to develop algorithm to recognize black germ wheat based on image processing. The sample used for this study involved wheat from major producing areas of China. Images of wheat were acquired with a color linear CCD machine vision system. Each image was pre-processed to correct color offset. Then double-threshold method was used to segment black germ from background...
Color differences are determined by illumination, the spectral reflectance of objects, and the spectral sensitivity of the imaging sensor. In this paper, we explore the optimal illumination conditions that best separate one object from another. Given two objects with distinct spectra, we derive the optimal illumination spectrum to maximize their color distance with a plain RGB camera. In practice,...
Nano-level 3-D measurement is one of the key technologies for the current and next generation of production systems for semi-conductors, LCDs and nano-devices. To meet with these applications, “Wide range nano-level 3-D shape measurement method using combination of RGB laser lights” has been developed. It measures the height of nano-objects from the combination of RGB LED lights combinations. To analyze...
Comparison of image segmentation techniques based on the number of dominant colors and clusters is presented. Tensor Voting, Expectation Maximization algorithm, K-Means Algorithm and Mean Shift Algorithm are considered. The image segmentation results are analyzed with constant and varying number of clusters for all algorithms. Finally the performance of all algorithms under Gaussian noise is also...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.