We present a novel shadow smoothing algorithm using the bilateral filter. From the observation that shadow leaking, which is found often in filter based approaches, occurs at depth discontinuity seen from the viewpoint of the eye, we apply the bilateral filter which is conceptually a product of two Gaussian filters, one for smoothing the shadow map and the other for handling depth discontinuity...

This paper proposes a new shadow removal approach for input single natural image by using subregion matching illumination transfer. We first propose an effective and automatic shadow detection algorithm incorporating global successive thresholding scheme and local boundary refinement. Then we present a novel shadow removal algorithm by performing illumination transfer on the matched subregion p...

Shadow detection is useful in many applications like image segmentation, scene interpretation and object recognition/tracking. Shadow in images is formed when direct light from a light source cannot reach due to obstruction by an object. Shadow removal is a critical step for improving object detection and tracking. Many algorithms for shadow detection have been proposed in the literature. This ...

Photoelectric observations of short term light variations (shadow bands) at the 16 Feb. 1980 total solar eclipse have been made using a set of spatially separated PIN diodes. Light variations in a bandpass of 1-500 Hz were detected during the half-minutes preceding and following the total phase. Fourier analysis of the noise spectrum of the variations reveals a sharp drop-off for frequencies ab...

The increase in spatial resolution has enabled analysis and detection of images obtained through satellite. To increase the accuracy in image processing, an unwanted shadow needs to be processed effectively. A quality check mechanism governs the false reconstruction problems. In the proposed paper we would like to suggest use of Lib SVM algorithm. The original image obtained from satellite is f...

knowledge about low flow statistics is essential for effective water resource planning and management in ungauged orpoorly gauged catchment areas, especially in arid and semi-arid regions such as iran. we employed a data set of 20 riverflow time-series from the iranian central plateau river basin, iran to evaluate the low-flow series using several frequencyanalysis methods and compared the resu...

this paper presents a new damping controller design based on fuzzy wavelet neural network (fwnn) to damp the multi-machine power system low frequency oscillations. the error between the desired system output and the output of control object is directly utilized to tune the network parameters. the orthogonal least square (ols) algorithm is used to purify the wavelets for each rule and determine ...

Arid and desert lands in terms of specific environmental characteristics such as low annual precipitation,sequential droughts, huge drop in ground water levels or the like, have always faced strict limitations in waterresources. In the shadow of these characteristics and many other factors, Water Price Index (WPI) is significantlyaffected. This study set out with the aim of identifying and dete...

We study the shadow produced by a class of rotating black holes surrounded plasma. The metric for these arises applying Newman-Janis algorithm to family spherically symmetric spacetimes, which includes several well known geometries as special cases. derive general expression shape in case that plasma frequency leads separable Hamilton-Jacobi equation light. present two examples we obtain contou...