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Information fetal development in the womb can be seen through a scanning process with ultrasonography technology. The resulting image of the process of two-dimensional ultrasonography has not been able to provide complete information. This paper describes several necessary processes to make the image of the ultrasonography can be identified precisely and accurately to provide information needed by...
In order to achieve vial bottle mouth defect detection, this paper proposes a vial bottle mouth defect detection scheme based on machine vision. The scheme is mainly using machine vision software HALCON to study. Firstly, the noise in the bottle mouth image is removed by filtering. Secondly, separating target and background by threshold segmentation. Then, extracting the edges through the edge detection,...
We have proposed a new speckle filtering method in this paper. Our method uses time-series of SAR images at the same scene to perform multitemporal speckle filtering to reduce speckle noise while preserving its spatial information. We used segmentation based on the distribution of speckle noise by the Öztürk algorithm in this method for achieve a higher quality of edge areas.
In this paper, we propose the speckle removal algorithm from Synthetic Aperture Radar (SAR) images via a segmentation technique based on Öztürk algorithm. The Öztürk’s algorithm is used to determine the distribution for each sample. These procedures are processed to see the relation between distribution of each pixels and segments of the image. We demonstrated the effectiveness of our algorithm by...
We propose a novel algorithm to segment a low depth-of-field (DOF) image into its focused region-of-interest (ROI) and defocused background using adaptive second-order statistics (ASOS). Most previous methods depend on the assump -tion that the images are in noise-free conditions, which leads to high false positive rates in noisy images. In this letter, we introduce a novel image segmentation algorithm...
The traditional artificial cigarette review methods are difficult to match the high-speed automatic cigarette sorting system. In this paper, a new cigarette recognition method using the uniqueness of cigarette bar codes was proposed. Firstly, a binary image filtering algorithm based on square adaptive structure element of mathematical morphology (SASEMM) was used to get several potential sub-regions,...
Active contour is a popular technique for vascular segmentation. However, existing active contour segmentation methods require users to set values for various parameters, which requires insights to the method's mathematical formulation. Manual tuning of these parameters to optimize segmentation results is laborious for clinicians who often lack in-depth knowledge of the segmentation algorithms. Moreover,...
Light sheet microscopy allows rapid optical sectioning of whole chicken embryos during early development, visualizing cells through transgenic expression of a fluorescent cell membrane label. Low signal-to-noise ratios and large variability in intensity make segmentation of these images difficult, often resulting in discontinuous cell edges. We propose a multi-scale non-local means with shape prior...
Parameters extracted from time activity curves in contrast enhanced ultrasound images play an important role in independent or computer aided diagnosis of hepatic focal lesions. Due to noise and errors induced by movement of ultrasound probe and breathing of patients, reproducible extraction time activity curve parameters is challenging. In this paper we propose a new solution that combines filtering...
Objectives: Change the initial value of CV model to achieve the purpose of cell image segmentation fast and accurately. Material and methods: This paper selects slice image of cervical-cancer cells under a microscope as experimental materials. First, the original image is bilateral filtered and then the image is preprocessed using Otsu method to get the rough contour of cytoplasm. Then use Otsu method...
In this paper, we present a new adaptive boundary filtering which is an improvement of the bilateral filtering algorithm. Bilateral filtering is an algorithm that is used for smoothing and preserving the edges in an image. This algorithm has proper capability when using with normal surface that have less number of regions. For texture area, many complicated regions are packed together e.g., hair and...
To extract quantitative and shape information of blood cells from micrograph images, good segmentation of these images is essential. In this paper, a method Based on the geodesic active contour (GAC) is proposed for such task. The Gaussian filtering working for edge detection in GAC is replaced with wavelet-package filtering, which enable the GAC cope better with noise disturbance and finally lead...
This paper discusses the enhancement using blob analysis applied to automatic segmentation of “GrabCut” tool [1] for segmenting blooming flowers in color images. The automatic segmentation of “GrabCut” is used to initialize the segmentation, but the results are not effective and there is insufficient separation of foreground and background color distributions. In our proposed work, the segmented “GrabCut”...
Synthetic Aperture Radar (SAR) works by collecting the polarized electromagnetic waves returns from many radar pulses and processing them into a single radar image, which can work all-day and all-weather, and play a significant role in the detection of the oil slick. There' re speckle noise and the inconsistencies of overall gray level in SAR image, which brings a lot of interference in SAR images'...
In this paper, we propose a simple and powerful method for segmentation of the coronary artery in angiograms, which combines Hessian matrix multi-scale filtering and region-growing. In this method, Hessian matrix multi-scale filtering is used to enhance vessel in angiographic images. The multi-seed region-growing algorithm is used to extract the coronary artery tree from the enhanced images. As considering...
An image segmentation approach based on independent component analysis and watershed algorithm is proposed to complement medical image segmentation efficiently. Considering that the noise, uniform gray intensity and many low contrast adjacent areas in the medical images may cause the images over-segmented when using the watershed algorithm, so that the independent component algorithm is applied to...
SAR chip image segmentation is a key step in SAR automatic target recognition (ATR). Aiming at this challenging task, many available methods are proposed. Among these methods, MRF-based segmentation is the most popular one. MRF-based method for SAR chip image segmentation is more like an inverse-filter which tries to smooth noise. The hyper parameter determines its capability of noise reduction. The...
This paper proposes an effective image preprocessing chain for estate electron file to eliminate most of the effect of noise and enhance the recognition performance. Owing to its' diversity and particularity, the processing of real estate file images is extremely significant compared with the general images', so a integrated preprocessing chain is firstly applied for images of estate file. It includes...
This paper suggests an improved segmentation of remote sensing images based on watershed algorithm to reduce the over-segmentation of the watershed transform. Taking into the characteristics of remote sensing, remote sensing images were filtered using a fast peer group filtering (PGF). Then do watershed transform on the multi-scale morphological gradient image and merge regions by grey similarity...
In computer vision and image processing edge detection is an important topic. In what follows, a simple edge detection and fast calculation method using fuzzy rules is presented. The fuzzy rule system is designed to model edge continuity criteria. To adjust parameters the maximum entropy principle is used for. We also discuss the related issues in designing fuzzy edge detectors. Every step of evolution...
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