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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...
CT angiography image vessel segmentation technique plays a critical role in many practical applications such as diagnosis of diseases and surgical planning. Blood vessels after angiography are often defective in low contrast and high noise due to individual differences and limitations of imaging device. A set of segmentation methods has been proposed for such data feature, which firstly adopts combination...
Saliency detection is to find the most important object automatically according to the human visual in the unknown scene. Most existing algorithms detect the salient object using various salient object features. In this paper, we present a novel saliency detection method by an iterated graph Laplacian based ranking on manifolds to determine whether the region is salient or not. Firstly, we segment...
Rice (Oryza sativa) breeders usually need to quantify the progress of their work by examining certain anatomical traits in the roots. These traits can be observed via a microscope. However, an efficient, accurate algorithm for image segmentation is required for quantitative analysis in a large dataset. This work proposes an automatic method based on graph optimization and multi-resolution analysis...
This paper proposes a novel and simple unsupervised vessel segmentation algorithm using fundus images. At first, the green channel of a fundus image is preprocessed to extract a binary image after the isotropic undecimated wavelet transform, and another binary image from the morphologically reconstructed image. Secondly, two initial vessel images are extracted according to the vessel region features...
In this paper, we propose an instrumentation and computer vision pipeline that allows automatic object detection on images taken from multiple experimental set ups. We demonstrate the approach by autonomously counting intoxicated flies in the FLORIDA assay. The assay measures the effect of ethanol exposure onto the ability of a vinegar fly Drosophila melanogaster to right itself. The analysis consists...
The liver shapes are complex, pathological changes severely affect the liver shapes. In order to realize the segmentation of the boundary of liver in CT images, the liver shapes dictionary is built, the input CT images are sparse represented by the angular points in gold standard liver boundary dictionary, and the best matches is selected to be the final segmentation result. Experimental results show...
Due to image quality related issues, classification of plankton images, particularly of those collected in situ, strongly relies on shape features. Thus, image segmentation is a critical step in the classification pipeline. In general, the segmentation algorithm that leads to the best overall classification accuracy does not necessarily imply best classification accuracy with respect to each of the...
Hybrid methods of fuzzy clustering and particle swarm optimization (PSO) are important techniques for image segmentation. The spatial credibilistic clustering (SCC) shows better performance than traditional fuzzy clustering, because of the “typicality” represented by credibility memberships degree is much more accurate than the “sharing” represented by probability membership degree to characterize...
Serial section electron microscopy (SSEM) image stacks generated using high throughput microscopy techniques are an integral tool for investigating brain connectivity and cell morphology. FIB or 3View scanning electron microscopes easily generate gigabytes of data. In order to produce analyzable 3D dataset from the imaged volumes, efficient and reliable image segmentation is crucial. Classical manual...
Vignetting correction is an essential part of pre-processing to address decreasing illumination towards the border of a microscopic image. Image processing and analysis is a potential tool for monitoring and prediction of activated sludge wastewater treatment plant. Microscopic images of activated sludge require anti-vignetting or vignetting correction algorithm for accuracy of subsequent image analysis...
This paper selects OTSU segmentation method. In order to verify the superiority of Chaos Particle Swarm Optimization, before segmentation, use test function detects chaos particle swarm (PSO) algorithm accuracy and efficiency. Then OTSU method were optimized and contrasted by four kinds of optimization algorithms. In order to select the best image segmentation, it provides a scalable processing platform...
Thresholding is a popular image segmentation method that converts gray-level image into binary image. The problem of thresholding has been quite extensively studied for many years in order to get an optimum threshold value. The multi-level thresholding becomes very computationally challenges. In this paper, a novel multilevel thresholding method based on particle swarm optimization (PSO) algorithm...
In this paper, we propose an improved fuzzy enhancement algorithm for the moving object detection and tracking. A new membership function is proposed based on the theory of fuzzy sets, which improves the traditional Pal-King fuzzy enhancement algorithm and overcomes the loss of gray information after the processing of enhancement. Since a gray image with multiple targets need more than one crossover...
Superpixel segmentation is popularly used as a preprocessing in image segmentation and object recognition. However, none of effective superpixel segmentation algorithms have been proposed to highlight the contour features of the salient object in image, and they are difficult to describe the irregular superpixel boundaries. That will make a bad impact on subsequent image processing. In this paper,...
Web page segmentation aims to break a page into sections that can reveal the information presentation structure and appear coherent to readers. In this paper, we propose a new web page segmentation framework based on the process of analyzing and understanding web page structure. After extracting the segmentation graph structure, we formulate the label assignment task which determines whether each...
The aim of this paper is the design and implementation of a solution for monitoring of the properties of an object, specifically a human hand in the video. Solutions available today require for their operation some special hardware, such as a depth sensor. The system described in this paper aims to acquire the properties of the object only with the aid of commercially available camera equipment. The...
The paper is concerned with the final part of the algorithm for the log deck volume measurement. After detecting the rounded objects with the modified Fast Radial Symmetry algorithm it is necessary to adjust the edges of the detected log cuts and separate erroneous objects. Thus the image cauterization and segmentation are implemented. Once the geometry of each object is accurately defined the volume...
Individuality of handwriting is the reason why it is used as a common base element for detecting character traits of the writer. It is believed that dynamic information improve the accuracy of the analysis, but they are not contained in an offline handwritten text. In order to recover dynamic information, a novel approach for handwriting trajectory recovery is proposed in this paper. The procedure...
Due to the very low contrast between the microorganisms and background in sewage microscopic images, few traditional segmentation algorithms are available to extract the object contours from surrounding environment completely and smoothly. In this paper, we propose a novel contour extraction method for microorganisms in sewage micro-images. Firstly, Sobel operator is utilized to calculate the image...
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