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Multiple Sclerosis (MS) is the most prevalent demyelinating disease of the Central Nervous System, being the Relapsing-Remitting (RRMS) its most common subtype. We explored here the viability of use of Self Organizing Maps (SOM) to perform automatic segmentation of MS lesions apart from CNS normal tissue. SOM were able, in most cases, to successfully segment MRIs of patients with RRMS, with the correct...
Contour extraction of stone slabs is the first-step for optimization of cutting the irregular stone slab in real time. A color image segmentation method to extract the stone slab contour in the complex background is proposed. Firstly, we define a sample window and detecting window in HSI color image space, and extract the image feature of sample window as the prior knowledge. Traverse the whole image...
We propose an improved randomized circle detection method. The improved method reduces the computational complexity of the randomized circle detection method by a factor of two. We then apply the proposed method to detection of circular traffic signs. For traffic images taken in complex scenarios, the colors of interest are first segmented, obtaining potential regions of traffic signs. By applying...
we propose an efficient C-V model with wavelet transform to speed up the C-V model evolution. Firstly, the image is decomposed into the downsizing and approximation sub-image with wavelet transform. Then the sub-image composed with the approximation wavelet coefficient matrix is pre-segmented using C-V model to get an approximation curve in a short time. Thirdly, in order to get a fine segmentation,...
This paper proposes an approach for image segmentation of the urban traffic scene captured from a car-mounted camera. First of all, an improved SIFT feature matching algorithm is adopted for extracting 2D keypoints of the scene. Tracking the 2D keypoints generates the 3D points clouds that can estimate the 3D world structure and motion features. And then Multiple Kernels Support Vector Machines (MKSVM)...
A novel image fusion algorithm based on wavelet lifting scheme is presented. The lifting scheme is a new idea of constructing wavelets and has several unique advantages over conventional convolution-based wavelet transform. It allows for an in-place implementation of wavelet transform and reduces computation time and memory requirement greatly. So in this fusion algorithm, the lifting wavelet transform...
Considering the characteristic that the nucleus and the nucleolus have no obvious boundary, this paper presents a fast level set method which is based on the overall information of an image to extract the nucleolus from the prostate nucleus. We pre-process the three-dimensional colorful prostate image at first, making the nucleolus (target) distinct to the surrounding environment (background) at the...
Real-time monitoring system has important practical value for industry production, and the monitoring systems nowadays cannot satisfy both remote monitoring and high definition requirement. A high definition real-time monitoring system scheme based on embedded network streaming media is proposed after further research on image segmentation technique. Remote monitoring system is realized, data quantity...
A license plate location method based on projection and genetic algorithm was proposed in this paper. Projection located the left and right edges of license plate. Genetic algorithm searched license plate region with second order moment as objective function which described texture in license plate region quantitatively. Four sub-nets were designed to classify Chinese characters, alphabet characters,...
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