A non-blind, shift-invariant image processing technique that fuses multi-view three-dimensional image data sets into a single, high quality three-dimensional image is presented. It is effective for 1) improving the resolution and isotropy in images of transparent specimens, and 2) improving the uniformity of the image quality of partially opaque samples. This is demonstrated with fluorescent sa...

Color image segmentation is an important but still open problem in image processing. In this paper, we propose a method for this problem by integrating the spatial connectivity and color feature of the pixels. Considering that an image can be regarded as a dataset in which each pixel has a spatial location and a color value, color image segmentation can be obtained by clustering these pixels in...

abstract currently in iran, some manual methods are used for measuring spray droplet size which is very laborious and time consuming. in this paper, a software is presented based on image processing techniques, which is suitable for small object detection purpose that can be used in blob analysis of sprayer calibration and other similar applications. the algorithms have been implemented and ada...

Traditional space-invariant regularization schemes in tomographic image reconstruction using penalizedlikelihood estimators produce images with nonuniform resolution properties. The local point spread functions that quantify the local smoothing properties of such estimators are not only space-variant and asymmetric, but are also object-dependent even for space-invariant systems. We propose a ne...

In this paper, we revisit the problem of digital camera sensor identification using photo-response non-uniformity noise (PRNU). Considering the identification task as a joint estimation and detection problem, we use a simplified model for the sensor output and then derive a Maximum Likelihood estimator of the PRNU. The model is also used to design optimal test statistics for detection of PRNU i...

In this paper, we study Photo Response Non-Uniformity (PRNU) based image tampering detection methods and their applicability in real-world image tampering detection applications. Experiments using current PRNU based image forensic methods were conducted to evaluate the performance of existing methods in the realistic applications. The PRNU based forensic approach was tested on the images taken ...

A new cooling duct system was developed in order to increase the refrigerator performance in terms of uniform temperature distribution particle image velocimetry (PIV) and the commercial software FLUENT was used to compare the performance of the conventional cooling system with the new cooling system. The new cooling system effectively cooled the door basket region, thus increasing the uniformi...

The objective of this paper is to describe some pattern recognition approaches for image segmentation. First, in the introduction, we present the general aspects of omogenity and texture recognition. Then we provide a mean-based feature extraction approach for uniformity analysis and a moment-based one for texture analysis. In the classification stage we propose both supervised and also unsuper...

We study a problem on specializations of multiples of rational points on elliptic curves analogous to the Mersenne problem. We solve this problem when descent via isogeny is possible by giving explicit bounds on the indices of prime power terms in elliptic divisibility sequences associated to points in the image of a nontrivial isogeny. We also discuss the uniformity of these bounds assuming th...

This paper describes an industrial magnetic resonance multiple imaging (MRMI) system that measures nuclear magnetic resonance of several kinds of nuclei simultaneously. We use a new principle of X-ray CT. Then we reconstruct distribution images of nuclear magnetic resonance (NMR) without using usual gradient coils. We propose the construction of hardware with un-uniformity magnetic field, and a...