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...

This paper addresses the problem of determining suitable mask values and sizes for the discrete implementation of the Laplacian of Gaussian edge operator. This is achieved by providing a theoretical connection between the mask size and the edge detection error introduced by truncation of the operator. Additionally, the importance of introducing a bias correction within the finite approximation ...

Conventional seated audiences have relatively restricted opportunities for response. Perhaps the most salient is applause but they use their hands to make other visible movements: to fix hair, adjust glasses, scratch ears. The question we address here is whether these apparently incidental movements may provide systematic clues about an audience’s level of engagement with a performance. We inve...

Robust and reliable traffic surveillance system is an urgent need to improve traffic control and management. Vehicle flow detection appears to be an important part in surveillance system. The traffic flow shows the traffic state in fixed time interval and helps to manage and control especially when there’s a traffic jam. In this paper, we propose a traffic surveillance system for vehicle counti...

The Logarithmic Image Processing model (LIP) is a robust mathematical framework for the processing of transmitted and reflected images. It follows many visual, physical and psychophysical laws. This works presents a new formulation of a 2D–convolution of separable kernels using the LIP paradigm. A previously stated LIP–Sobel edge detector is redefined with the new proposed formulation, and the ...

Structure in digitized images resides within two scales, the inner and outer scale. The inner scale is defined by the sampling resolution, and the outer scale is given by the image size. However, some images contain almost no fine scale structure, and these may be down-sampledwithout essential loss of image detail. Likewise some images may be reduced in size by removing borders with no structur...

A multiscale region detector is derived from properties of a v ‘G (Laplacian-of-Gaussian) scalespace. The detector finds all image regions that have small gray-level variation relative to a neighborhood of their size. These regions may he nested. Since the region detector is designed as a coarse estimator of region size and shape, it is better suited for texture element extraction than for gene...

We propose a moving edge extraction method using the concept of entropy and cross-entropy, in which the crossentropy concept is applied to dynamic scene analysis. The cross-entropy concept provides enhancement of detection for the dynamically changed area. We combine the results of cross-entropy in the difference picture (DP) with those of entropy in the current frame so that we can effectively...

This paper presents a new criterion for blob detection applied in the framework of scale-space based segmentation of objects from digital medical images. The proposed method is based on fitting the blob to a standard shape, such as the Gaussian, subject to constraints based on the blob support area or the total variation. The method has been verified and compared with the conventional procedure...