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It is said that a picture is worth a thousand words. Thus, there are various ways to describe an image, especially in aesthetic quality analysis. Although aesthetic quality assessment has generated a great deal of interest in the last decade, most studies focus on providing a quality rating of good or bad for an image. In this work, we extend the task to produce captions related to photo aesthetics...
This paper presents an indoor locating system on wearable glasses for people with visual impairment. The proposed system is implemented by visual marker recognition. Because people with visual impairment have difficulty searching markers, this paper proposed a custom color marker which is detectable in 15 m maximum when its size is 400 cm2. The marker recognition can be processed in real-time on a...
Lane-mark detection is one of the most important parts in intelligent transportation systems (ITS). In this paper, we propose a lane-mark detection system which can overcome a lot of difficult situations, such as bad weather conditions, shadow effect, or road sign on the road. After the region of interest (ROI) of a road image is determined, we apply the Canny edge detector to investigate boundaries...
Breast cancer is the second most common cancer in females, after lung cancer in the world. In Taiwan, there are about 7500 female suffering from breast cancer every year. The incidence of breast cancer has exceeded cervical cancer and has become the most common female cancer. Immunohisto chemistry (IHC) image is widely applied to the diagnosis of breast cancer, but it requires a great deal of manpower...
Automatic License Plate Recognition (ALPR) can avoid faults of manual license plate recognition, like pressing keys wrongly or too slowly. But, there are inevitably some vertical and horizontal perspective distortions between the license plates and ALPR's cameras, degrading the accuracy and reliability of ALPR significantly. This paper proposes a Homography-based perspective correction method for...
To detect early prostate cancer, physicians usually apply the color Doppler ultrasound imaging to visualize prostate. Since color Doppler ultrasound imaging provides blood flow information, differentiating the malignancy from benign prostate diseases by inspecting Doppler spectrum is not difficult. However, it is hand-held, time-consuming, and only limited in a small and static region, which might...
Dilated capillaries are an important characteristic of basal cell carcinoma (BCC). Detecting capillaries in images can improve a computer-aided skin cancer diagnosis system. In this study, we investigate the feasibility to extract capillaries from clinical images of skin lesions recorded by a regular digital camera. First, we used a compact set of 1 curvilinear and 2 color parameters to train a support...
For the prevalent research in wireless sensor networks, the main objective is to maximize the lifetime of a sensor network subject to the battery-energy at the sensor nodes. Various heuristic approaches have been proposed to achieve this objective and many simulation results have been presented in the existing literature. However, hardly exists any analytic framework to govern this network lifetime...
Recently medical cosmetology has attracted significant business opportunity. Micro cosmetic surgery usually involves the minimally invasive cosmetic procedures such as non-ablative laser procedure for skin rejuvenation. However, an appropriate treatment selection for skin relies on accurate preoperative evaluation. In this paper, an automatic facial skin defects detection and recognition system is...
Skin analysis is one of the most important procedures before medical cosmetology. Most conventional skin analysis systems are semi-automatic. They often require human intervention. In this study, an automatic facial skin defect detection approach is proposed. The system first detects human face in the facial image. Based on the detected face, facial features are extracted to locate regions of interest...
In this paper, we apply the principal component analysis (PCA) to extract significant image features and then incorporated them with the proposed two-phase fuzzy adaptive resonance theory neural network (Fuzzy-ART) for image content classification to overcome the gap between the low level features and high level semantic concepts. In general, Fuzzy-ART is an unsupervised clustering. Meanwhile, the...
Issues of friendly human-machine interfaces have driven various researches, such as face animation, face recognition, and facial expression recognition in the last decade. The success of these applications relies on the accuracy of the detected facial features. Despite that facial features may be extracted automatically by some methods, however, the effective results were obtained in certain restricted...
Facial expression recognition is one of the most popular topics in emotion analysis. Most facial expression recognition systems are implemented by general expression models. Since facial expressions may be expressed differently by different people, inaccurate results are unavoidable. The proposed facial expression recognition system recognizes facial expressions using facial features of the individual...
Abstract-Analyzing the contents of an image and retrieving corresponding semantics are important in semantic-based image retrieval system. In this paper, we apply the independent component analysis (ICA) to extract significant image features and then incorporated it with the proposed Two-phase Fuzzy Adaptive Resonance Theory Neural Network (Fuzzy-ARTNN) for image content classification. In general,...
Foreground detection is essential for semantic understanding and discovery for surveillance videos but still suffers from inefficiency and poor shape or silhouette detection. We argue to leverage multiple modalities (e.g., color appearance, foreground likelihood, spatial continuity, etc.) for foreground detection and propose a rigorous fusion method by graph cut. We further devise three strategies...
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