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Thermal barrier coating is a widely used advanced manufacturing technique. This paper introduces an image analysis based automated thermal barrier coating porosity measurement (TBCPM) framework. The proposed automated image analysis framework consists of two modules, including 1) top coat layer detection module, and 2) microstructure recognition and porosity measurement module. The first module is...
In this paper, we propose LinedCut: a novel method for interactive image segmentation which requires only a single line drawing to identify the object of interest in the image. The handy interaction mode can address the problem of object scale very well. Our approach consists of the following three steps: first, a given image is over-segmented into superpixels using superpixel algorithm; secondly,...
Image segmentation as the processing of partitioning a digital image into multiple segments has wide applications, such as image retrieval, medical inspection, and computer forensics. Clustering methods as one solution are applied on a single or multiple feature spaces of an image, such as color, intensity, or texture, in order to group similar pixels that share certain visual characteristics. Given...
Boosting algorithm is used to improve the accuracy of algorithm in the learning field in recent years. It has been widely used in object detection because of its algorithm is simple, practical and implementation of high efficiency. It's not directly to construct a high precision algorithm, but by learning the many weak classifiers to form a strong classifier, which is different with other algorithms...
In image clustering, digital images can be represented with a large number of visual features corresponding to a high dimensional data space. Traditional clustering algorithms have difficulty in processing image dataset because of the curse of dimensionality. Moreover, similarity between images is measured by the values of partial features. To discover clusters existing in different subspace is known...
An novel object detection and segmentation algorithm is proposed based on contour information and inference. The scheme proceeds in mo stages, in the first stage, some prototypes are learned automatically from their 3D models and training images. Firstly, aiming to viewpoint invariance, a two-layer structural of multi-views is built, secondly, the corner-polygon (CP), which is combination of 3 features,...
A scheme of segmentation based on low-level and high-level cues is presented. Firstly, image-pyramid is obtained based on segmentation by Weighted Aggregation (SWA), the suitable coarse pixel image is selected to be as low-level segmentation cues. Kernel principal component analysis (KPCA) is used for building the space of shape to represent shape prior knowledge. The coarse pixel image is expressed...
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