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Shape is an important visual feature and it is one of the basic features used to describe image content. However, shape representation and classification is a difficult task. This paper presents a new boundary based shape representation and classification algorithm based on mathematical morphology. It consists of two steps. Firstly, an input shape is represented by using Hit Miss Transform (HMT) into...
This paper proposes a new method which combines blind equalization and morphology based image-processing to identify MQAM signals in multipath environment. The advantage of our approach is that, by using image-processing, only 128??128 bits data is required to be stored. Furthermore, even the eye diagram of equalized signal for 64QAM is not opened enough, it can still be used to classify. Computer...
Recognition of prostate calculus is an important step to determine the source of pathological organ, and is of great importance for further diagnosis of prostate cancer. In this paper, due to some tissues are similar to calculus, and prostate calculus usually adheres to other tissues, a recognition algorithm for prostate calculus based on transition region and PCA-SVM is proposed. Firstly, local entropy,...
An approach for spectral-spatial classification of multisource remote sensing data from agricultural areas is addressed. Mathematical morphology is used to derive the spatial information from the data sets. The different data sources (i.e., SAR and multispectral) are classified by support vector machines (SVM). Afterwards, the SVM outputs are transferred to probability measurements. These probability...
Chromosome images were acquired by microscopic imaging of metaphase or prophase cells on specimen slides. Digitized chromosome images usually suffer from poor image quality, particularly lack of contrast and presence of shading and artifacts. So these images must be enhanced. This paper presented an enhancement algorithm for chromosome images based on mathematical morphology. Firstly, the top-hat...
A vehicle detection algorithm was proposed based on the morphology and wavelet transform, in the context of the traditional difference. First, the background model was established, using statistical means of the rapid sequence. As background to transform the impact of light obviously, the corresponding easy and quick to update the background algorithm was used. Using the background of the video images...
Morse theory studies the relationship between the topology of a manifold M and the critical points of a scalar function f defined over M. Morse and Morse-Smale complexes, defined by critical points and integral lines of f, induce a subdivision of M into regions of uniform gradient flow, representing the morphology of M in a compact way. Function f can be simplified by canceling its critical points...
One of the basic techniques in iris recognition system is iris localization. To find a fast, effective and exact iris localization algorithm is the key step of iris recognition. After analyzing the principle, strong points and short points of some common used iris localization methods, a morphological theory based iris localization algorithm was proposed in this paper. Based on the concept of all...
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