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Background subtraction is a process of separating moving foreground objects from the non-moving background. This technique must adapt to the illumination, motion and the geometry background changes such as shadow, reflections, and etc. In this paper, one of the traditional background subtraction techniques which is frame differencing (FD) is conducted to detect the moving object in outdoor environment...
The objective of this research is to develop algorithm to recognize black germ wheat based on image processing. The sample used for this study involved wheat from major producing areas of China. Images of wheat were acquired with a color linear CCD machine vision system. Each image was pre-processed to correct color offset. Then double-threshold method was used to segment black germ from background...
In this work, a combination of artificial neural network (ANN), Fourier descriptors (FD) and spatial domain analysis (SDA) has been proposed for the development of an automatic fruits identification and sorting system. Fruits images are captured using digital camera inclined at different angles to the horizontal. Segmentation is used for the classification of the preprocessed images into two non-overlapping...
Luminophonics is a system that aims to maximize cross-modality conversion of information, specifically from the visual to auditory modalities, with the motivation to develop a better assistive technology for the visually impaired by using image sonification techniques. The project aims to research and develop generic and highly-configurable components concerned with different image processing techniques,...
This paper applies the multi-feature clustering analysis for SPOT5 color remote sensing images change detection based on image subtraction method and solves the problem of misjudge polygons. Subtraction chart is constructed by computing gray difference between pixels with a quite low threshold; Then, multi-feature-clustering-analysis is utilized to subtraction chart to delete misjudge polygons; Lastly,...
Aimed at that there is a missing detection in the video shot segmentation because of that the global color feature can't reflect the changes in the image's substance, a new method of shot detection is proposed using global color feature combined with the characteristic of local edge. In order to determine the border of the shot segmentation, the paper eliminated the flash interference with the gray...
This paper introduce a method of car license plate location which use the hue component in effect. Strengthen the blue component firstly, then set the appropriate threshold for location according to the regional color information. If no useful, transform the image by HSV, based on strengthening the blue component, and make the other regional black.Thus we can locate the car license plate accurately.
For detecting rice disease early and accurately, we presented an application of image processing techniques and Support Vector Machine (SVM) for detecting rice diseases. Rice disease spots were segmented and their shape and texture features were extracted. The SVM method was employed to classify rice bacterial leaf blight, rice sheath blight and rice blast. The results showed that SVM could effectively...
License plate detection plays an important role in license plate recognition (LPR) system. If license plate can be detected exactly, the character segmentation and recognition can be implemented more precisely and efficiently. In our observation, the illumination affects the result of detecting the license plate. The aim of this paper is to extract more than one license plate from an image and to...
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