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Glossoscopy is an important part of Traditional Chinese Medicine (TCM). To analyze the tongue properties objectively, we need extract the tongue region from images. This paper presents a method to segment the tongue images based on kernel FCM (Fuzzy Cluster means). Firstly we pre-processed the tongue images by gray-level integral projection. Secondly the features were extracted to form a feature vector...
Tongue diagnosis is an auxiliary, effective and non-invasive technique to evaluate the condition of a patient's internal organ in traditional East Asian medicine. The diagnosis process relies on expert's opinion based on visual inspection of colour, substance, coating, form and motion of the tongue. This work explores the computational complexity of image processing techniques to analyse chromatic...
Image of tuna as bigeye, skipjack and yellowfin have very high color similarity, but in the texture and shape can be differentiated. It requires a method to perform feature extraction of bigeye, skipjack and yellowfin appropriately, so the results on a classification of tuna have a high accurate rate. We propose a method to integrate gray level co-occurrence matrix (GLCM) and geometric feature extraction...
In this paper, we propose a new graph-based approach to address the problem of cytological computer-aided diagnostic. Such approach uses our previously introduced formalism of PdEs-based morphology and geometric diffusion on graphs. The approach is illustrated through two applications in cytopathology (involving Feulgen and Papanicolaou colorations), with examples of nucleus extraction and classification.
The type of the leaf vein can be a useful parameter in automatic identification of plant species. Leaf vein extraction is the precondition of discriminating the leaf vein type. In this paper a new method is presented for leaf vein extraction based on mathematical morphology. Firstly, the color image of the plant leaf is transformed to gray image according to the hue and intensity information. Secondly,...
A robotic system for harvesting tomatoes in greenhouses is designed. Effective recognition of ripen tomatoes from complex background is the key technology of the harvesting robotic system. In this work, the color feature of ripen tomatoes is employed. The ripen tomato is segmented by K-means clustering using the L*a*b* color space. To extract a single integrity ripen tomato, mathematical morphology...
License plate detection plays an important role in license plate recognition (LPR) system. If license plate can be detected exactly, the character segmentation and recognition can be implemented more precisely and efficiently. In our observation, the illumination affects the result of detecting the license plate. The aim of this paper is to extract more than one license plate from an image and to...
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