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A stroke is defined as a straight line or arc corresponding to a segment of character, and a character is composed of one or several strokes. A novel fast stroke filter which can localize stroke-like structures with very high speed has been proposed in this paper. Compared with related work, our fast stroke filter attacks the stroke detection problem in a more efficient way. It uses line segments...
To extract finger vein features effectively and efficiently, a novel algorithm based on oriented filter for finger vein extraction is proposed. The proposed algorithm calculates a direction map and uses a group of designed oriented filters to facilitate the extraction of the characteristic vein pattern from the enhanced finger vein image. Experimental results show that this new algorithm not only...
It is an intriguing challenge that insects can catch small moving targets amidst the clutter and moving scene accurately by the compound eye system which is with limited resolution. Especially when the velocity of the target is matched to the background, insect can also detect and catch it. Inspired by the neural mechanism of compound eye, this paper proposed a bio-inspired nonlinear self-adaptive...
This study describes a novel method, called single-linking pulse coupled neural network (PCNN), for Altering extreme impulse noise in a image. The proposed single-linking PCNN simplifies conventional PCNN and thus the related parameter can be adaptively selected and no iteration time needs to be determined, which a noisy image can be filtered by two times of firing process of the original image and...
We present a new filter for image sequences corrupted with random impulse noise. The main goal is to optimally combine noise removal with the preservation of the image details. The filtering strategy is to remove the noise in three different successive filtering steps and a fourth refinement step. In each filtering step, only the pixels that are detected as being noisy are filtered. The noise detection...
A new method of angle detection based on the topological median filter is proposed. Topological opening operator is used to detect corners and Topological closing operator is used to calculate the corner angles on gray level images.
Target detectors using polarimetry are often focused on single (coherent) targets, since these are the ones that can be more simply characterized polarimetrically. The new proposed algorithm is aimed at the more difficult problem of partial target detection (i.e. targets with any degree of polarization). A new feature vector is defined starting from the coherency matrix, and then a perturbation method...
Speckle reduction is a key step in several SAR image processing procedures. In this paper, a new despeckling technique based on the “nonlocal” denoising filter BM3D [1] is presented. The filter has been modified in order to take into account SAR image characteristics. The experimental results, conducted on both synthetic and real SAR images, confirm the potential of the proposed approach.
Object based image analysis has gained on the traditional per-pixel multi-spectral based approaches. The main pitfall of using anisotropic diffusion for creating a multi scale representation of a remotely sensed image remains the computational burden. Producing the coarser scales in a multi scale representation or, diffusing spatially large images involves significant time and resources. This paper...
A new multi-scale PolSAR data filtering technique, based on a Binary Partition Tree (BPT) representation of the data, is proposed. Different alternatives for the construction and the exploitation of the BPT for filtering and segmentation are presented. Results with simulated and experimental PolSAR data are presented to shown the capabilities of the BPT-filtering strategy to maintain both spatial...
This paper proposes a new morphological filter for SAR interferograms. It is based on a modified version of alternate sequential filters with reconstruction (MASF), in which the structuring elements are adaptively defined according to the fringe directions. This provides a good fidelity to the fringe information while efficiently removing noise. Another feature of the proposed approach is to apply...
In this work, a robust method of document images denoising is presented. The simple idea is combining the NLM filter and a Markovian segmentation into regions. The NLM method filtering allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar (irrelevant) pixels are very small, high number of these pixels results in introduction of blur. In this work...
In this paper we introduce a novel edge directed image interpolation algorithm so as to obtain an high-resolution image, given a low-resolution image. The interpolation is based on the local image directionality features estimated on the low-resolution image. The in depth analysis of the local edge features is accomplished at a low computational cost by filtering the low-resolution image by means...
In this paper, a technique based on Independent Component Analysis (ICA) and morphological attribute filters is presented for the classification of high geometrical resolution hyperspectral images. The ICA is computed instead of the conventional principal component analysis (PCA) in order to better model the information in the hyperspectral image. The spatial characteristics of the objects in the...
DGIP (Distributed Geographic Information Processing) has become a new tendency of GIS (Geographic Information System) recently. DGIP focuses on how to organize and process a series of geographic resources in distributed computing environment and now existing research is mainly carried out from a global point of view. But it is noticeable that each computing node in distributed computing environment...
The imitated gray scale space extremum-median filter (IGSSEM) algorithm was proposed to aim at the difficulties existent in the improved extremum and median filter (IEM) algorithm processing color images. This algorithm keeps the characteristic which is reduce the possibility of mistaking the signal pixels for noise pixels, the more appropriate method is used to detect noise pixels. At the same time,...
After optimizing filter back projection (FBP) algorithm of CT with the theory of symmetric transformation group and based on the fact that regular hexagons have the most symmetry axis among all the regular polygons which could pave the two dimensional plane without chink (total six symmetry axis compare three of regular triangle and four of square), a fast reconstruction algorithm is founded to reduce...
This paper proposes a novel improved median filter algorithm for the images highly corrupted with salt-and-pepper noise. Firstly all the pixels are classified into signal pixels and noisy pixels by using the Max-Min noise detector. The noisy pixels are then separated into three classes, which are low-density, moderate-density, and high-density noises, based on the local statistic information. Finally...
For features of synchronous orbit target image, this paper proposes the small target detection method that based on Normalized moment of inertia feature. Firstly, this method uses gray mathematical morphological filter to pre-process the image, improves the target signal noise ratio without affecting the target shape, and then uses constant false alarm rate (CFAR) to choose segmentation threshold...
As the angle and intensity of light may change in practical cases, it is difficult to measure the illumination of an image. Taking into account the characteristics of the image illumination conditions, we propose a new method based on bilateral-filtering algorithm to enhance the illumination invariant from the face image, then estimate the compensation image by dividing the original image, and finally...
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