Abstract Aiming at the problems of low detection accuracy and blurred object edges in current salient based on background algorithms, a new algorithm boundary prior to estimate is proposed. Firstly, super-pixel image segmentation (SLIC) used segment into super-pixels. According theory that foreground are relative, estimated by using four-edges image; At same time, an optimal fusion proposed fus...

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

Local binary pattern (LBP) operators, which measure the local contrast within a pixel's neighborhood, successfully applied to texture analysis, visual inspection, and image retrieval. In this paper, we recommend a semi blind and informed watermarking approach. The watermark has been built from the original image using Weber Law. The approach aims is to present a high robustness and imperceptibi...

A wavelet based technique for multiple point targets detection in InfraRed image sequences in presence of clutter is proposed. Most existing approaches assume target of several pixels size or of Gaussian shape with variance of 1.5 pixel. We develop detection algorithm for single pixel targets. The proposed scheme works very well with SCNR dB. Key-words:Wavelet, Temporal Multiscale Decomposition...

UNLABELLED Kidney motion during dynamic renal scintigraphy can cause errors in calculated renal function parameters. Our goal was to develop and validate algorithms to detect and correct patient motion. METHODS We retrospectively collected dynamic images from 86 clinical renal studies (42 women, 44 men), acquired using (99m)Tc-mercaptoacetyltriglycine (80 image frames [128 × 128 pixels; 3.2 m...

For remote sensing image analysis, it is necessary to use spatial information surrounding pixels, in addition to spectral information of them. Several works have been done in this field. On the other hand, autonomous agents, a newly explored area of research in image processing, can operate directly in the two-dimensional lattice of a digital image and provide an attractive abstraction to encap...

In the literature, visual surveillance methods based on joint pixel and region analysis for background subtraction are proven to be effective in discovering foreground objects in cluttered scenes. Typically, per-pixel foreground detection is contextualized in a local neighborhood region in order to limit false alarms. However, such methods have an heavy computational cost, depending on the size...

Blurring faces on images may be required for anonymity reasons. This may be achieved using face detectors that return boxes potentially containing faces. The most direct way to exploit these detectors is to combine them in order to obtain a more efficient face detection system, producing more accurate boxes. However, contrary to detection, blurring is actually a decision problem situated rather...

X-corner patterns are most widely used in camera calibration. In this paper, we propose a new sub-pixel detector for X-corners, which is much simpler than the traditional sub-pixel detection algorithm. In this new algorithm, the pixel position of X-corner is firstly detected by a new operator. Then a second order Taylor polynomial describing the local intensity profile around the corner is educ...

Accurately segmenting an insect from its original ecological image is the core technology restricting accuracy and efficiency of automatic recognition. However, performance existing segmentation methods unsatisfactory in images shot wild backgrounds on account challenges: various sizes, similar colors or textures to surroundings, transparent body parts vague outlines. These challenges are accen...