In this paper, based on the features of dice images and the least distance criterion (LDC) method, we developed an autorecognition scheme for dice games. First, we use R plane to replace gray-scale image to speed up processing. Next, we use O’stu method to convert the R plane into binary. Furthermore, image pre-processing steps are used to filter out the noise, and a non-circular object discard...

We describe a generic image classification system with an automatic knowledge acquisition mechanism from the Web. The processing in the system consists of three steps. In the gathering stage, the system gathers images related to given class keywords from the Web automatically. In the learning stage, it extracts image features from gathered images and associates them with each class. In the clas...

in this research, first of all, the existing problems in fragmentation measurement are reviewed for the sake of its fast and reliable evaluation. then, the available methods used for evaluation of blast results are mentioned. the produced errors especially in recognizing the rock fragments in computer-aided methods, and also, the importance of determination of their sizes in the image analysis ...

Today, a wide range of different image segmentation techniques can be found in medical imaging. Image segmentation is an important part of image processing, which often has a large impact on quantitative image analysis results. These allow the radiologist to obtain two and three-dimensional view of the internal structures of the human body, it has a large application domain for redundant clinic...

In digital image processing, image enhancement is employed to give a better look to an image. Color is one of the best ways to visually enhance an image .Pseudo-color image processing assigns color to grayscale images. This is useful because the human eye can distinguish between millions of colures but relatively few shades of gray. Pseudo-coloring has many applications on images from devices c...

Accuracy of microarray gene expression based cancer classification depends on microarray image processing techniques. Image de-noising is one of the crucial step of the microarray image processing. Better the quality of microarray image, more accurate will be the result of cancer classification. In this paper, we have implemented Median filter and wavelet transform based filters with various th...

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image processing system includes treating i...