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A method associating sharp frequency localized contourlet transform with morphology to remove mixing noise and suppress background disturbance of infrared images is proposed. This method use sharp frequency localized contourlet transform and a morphology filter to deny the noise in infrared images. And then segment infrared images by regional method of morphology watershed, the target can be isolated...
The researches on images fusion have attracted more attention due to the increasing demands. A number of pixel-based and region-based image fusion algorithms are described in certain criterions. In this work, a novel region-based image fusion method is proposed, which explores pulse couples neural network (PCNN) to produce a region map. Characteristics of each region are calculated and the region-based...
A method to extract features of frictional vibration signals was developed, using continuous wavelet transform (CWT) time-frequency image (TFI) and image processing to analyze the vibration signals, since the frictional vibration signals contain a wealth of information about the interface's fault state and friction wear state. TFIs were generated by CWT theory from the vibration signals produced by...
Future planetary exploration missions will aim at landing a spacecraft in hazardous or unknown regions of a distant planet, thereby requiring an ability to autonomously detect and avoid surface hazards and land at an affirmed safe site. Descent stage is typically subdivided into several stages to detect different hazards of varying styles and sizes. This paper focuses on those large surface features...
In older to measure the cereal grain size rapidly and objectively, a measurement method based on digital image processing technology was proposed. Firstly, the grain images acquired by a scanner were preprocessed by using the methods of image enhancement and morphological reconstruction. Then 2D Otsu was used to segment the image. Finally, through image analysis technology the grain size parameters...
Small target detection is a crucial problem for impurity detection in liquid. In order to get better detection effectiveness, a new algorithm based on multi-threshold classification and forward verification is described in this article. This algorithm can detect impurity-one kind of small target in liquid, which is able to detect impurity with full intelligent. After background suppression, an adaptive...
A highly efficient color correction approach based on color-encoded fringe projection is proposed, which combine color image segmentation and color intensity interpolation technique. Only 24 designed color patterns are projected and recorded to implement the process with a high brightness DLP projector and a color camera. To establish the correspondence between the designed color intensity and recorded...
The classification of flowering plants is a significant part of plant taxonomy. Automatic recognition of flowers using computer technology is of great social benefits. We analyze the features and disadvantages of existing methods, and propose a regional feature extraction method based on the shape characteristics of flowers. Since most flowers bloom radially and provide centrosymmetric features for...
Segmentation of Industrial image is an important step for automatic production and product inspection. There are many challenges for automatic industrial image segmentation, such as poor contrast at workpiece boundaries by complex illumination. Relying on information from the images does not work well in traditional segmentation. In this paper, we propose a novel automatic editing method for improving...
In this paper, we propose an effective framework to automatically segment hard exudates (HEs) in fundus images. Our framework is based on a coarse-to-fine strategy, as we first get a coarse result allowed of some negative samples, then eliminate the negative samples step by step. In our framework, we make the most of the multi-channel information by employing a boosted soft segmentation algorithm...
In this paper, mathematical modeling of digital watermarking is proposed to approximate the image based on the generalized Gaussian distribution. Using maximum a posteriori probability based image segmentation and fuzzy c means image segmentation, the cover image is segmented into several homogeneous areas. In EM segmentation, every region in the image is represented by a generalized Gaussian distribution...
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