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In recent years there have been many proposals for automated applications in vegetable harvesting. There are two major challenges: estimation of yield and harvesting of fruit trees. This research proposes a new algorithm that allows accurate counting of the number of fruits on a tree to accurately estimate the output of a dragon fruit. The algorithm consists of the following main steps: image segmentation,...
With the popularity of mobile and enhancement of mobile camera function, traditional digital cameras and scanner functions are gradually replaced by mobile camera. There are a lot of APP on mobile and able to scan paper documents. For photographic image processing, determining the boundaries of the document area from the mobile image is the first and important step. For the traditional document image...
Determining the centroids of circular marks is a problem that arises in many applications, for example, fluid mechanics, computer graphics, coordinate meteorology, statistics, etc. The accuracy of determining the centroids of circular marks in images is important for the overall accuracy of measurements. Therefore, the aim of the present work is to determine the centroids of these circular marks with...
The max-tree is a mathematical morphology data structure that represents an image through the hierarchical relationship of connected components resulting from different thresholds. It was proposed in 1998 by Salembier et al., since then,many efficient algorithms to build and process it were proposed.There are also efficient algorithms to extract size, shape and contrast attributes of the max-tree...
Stereo matching is a crucial step to extract depth information from stereo images. However, it is still challenging to achieve good performance in both speed and accuracy for various stereo vision applications. In this paper, a hardware-compatible stereo matching algorithm is proposed and its associated hardware implementation is also presented. The proposed algorithm can produce high-quality disparity...
Stereo matching is a crucial step for acquiring depth information from stereo images. However, it is still challenging to achieve good performance in both speed and accuracy for various stereo vision applications. In this paper, a hardware-compatible stereo matching algorithm is proposed; its associated hardware implementation is also presented. The proposed algorithm can produce high-quality disparity...
Iris localization affects the iris texture feature extraction, which has an important influence on the result of the analysis. The inner and outer edges of iris as concentric circles in the traditional algorithm caused low recognition accuracy. The pupil iris and iris-sclera borders are non-concentric circles, so the new localization algorithms were applied respectively. The iris image was carried...
Surface defect analysis of rotary metal parts is a requirement to research quality and operating state of parts. This paper proposes a new approach and algorithms for surface defect analysis of rotary metal parts. Given the captured surface images as an input, the approach first uses the pose relation of the mechanism and a simple weighted average algorithm to obtain one seamless large image by fast...
More and more students prefer to submit the questions captured by cell phone to the image recognition and retrieval system to find the answers when they are self-taught. In this paper, we propose a new method to detect formulas in text lines captured by cell phone in natural conditions for online Chinese examination question retrieval. First, we use the stroke width transform algorithm to get the...
The analysis of Magnetic Resonance Image has an important role in definite detection of Brain Tumor. The shape, location and size of tumor are examined by Radiology specialist to diagnose and plan treatment. In the intense work pace, it's not possible to get results quickly. At this scheme, unnoticed information can be recovered by an image processing algorithm. In this study, at database images which...
Vertigo is a false sense of motion; the cause of this symptom is very complex and it needs a complementary exam. In this study, a vestibular diseases analysis method is proposed from videonystagmography (VNG) applications using an estimation of pupil movements in the case of uncontrolled motion to prove an efficient and reliable diagnosis results. Firstly, we applied a robust segmentation to extract...
This paper proposes a new approach to achieve localization for one-dimensional (1D) and two-dimensional (2D) barcodes under the complex background. Most methods may work for a single 1D or 2D barcode or rely on a unique pattern to locate a single 1D or 2D barcode. Now we propose a novel barcode localization algorithm based on GBVS. It can quickly get saliency map on image and let it locates the 1D&2D...
A novel hybrid algorithm has been proposed in this paper to detect raindrops, remove and then restore the image back ground in a single image. This new hybrid algorithm is framed based on K-Means clustering and Median filtering for the fast retrieval of Rain droplets from the single image. K-Means clustering algorithm is an efficient algorithm for image clustering. The algorithm proposed in this paper...
The paper presents a new method for separation of overlapping dental objects allowing more precise analysis of the dental arch using image processing methods and computational intelligence. The methodological part of the paper is devoted to the separation of dental objects using the watershed and region growing methods applied to denoised images of dental bodies. The main part of the paper is devoted...
In this paper a method is presented to extracts visual navigation baseline based on the processing image of farmland. Firstly, the weighted average method(2G-R-B) is used for processing original image. And improved Otsu is used to segment the gray scale image. Then the binary image of the division is denoised with small area method. The center points are identified of the denoised image, and points'...
The brain tumor segmentation studies based on MRI are attracting more and more attention in recent years due to non-invasive imaging and good soft tissue contrast. This paper describes the proposed approach for detection and extraction brain tumor from MRI scan images of brain. Asymmetry of brain is used for detection of abnormality, after detect of the tumor. The segmentation based on F-transform...
In this work, we propose an efficient, mere algorithm for detection of a soccer ball and players. In long shots, existing algorithms may not be able to detect the ball when it merged with the lines in the field. So, we introduce a method that can separate lines from the ball and segment the ball competently. Primarily, the ground and the edges of the original image are detected. Then, Hough transform...
The evaluation of fluorescent in situ hybridization images (FISH) is one of the most widely used methods to determine Her-2/neu status of breast samples, a valuable prognostic indicator. Conventional evaluation is a difficult task since it involves manual counting of dots in multiple images. In this paper we present a multistage algorithm for the automated classification of FISH images from breast...
Multi-focus image fusion is to extract the focused regions from the multiple images of the same scene and combine them together to produce one fully focused image. The key is to find the focused regions from the source images. In this paper, we transform the problem of finding the focused regions to find the boundaries between the focused and defocused regions in the source images, and propose a novel...
A certain type of the internal examination system combination generated simulation background target image signal, goniometer acquisition target signal, realizes the goniometer simulation training, training application detection system, it is concluded that the performance parameters of goniometer. In view of the target image, by simulating the goniometer view transformation system, the integrity...
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