ICGSP

In this paper, we describe a novel stereo vision-based approach of cycle lane detection. Bicycle lanes are important components of road scenes. Therefore, how to verdict the existence of bicycle lanes existence and to fix their positions is worthy of ...

Feature extraction is the most important part of the whole object recognition and target detection system. Convolutional Networks have evolved to the state-of-the-art technique for computer vision tasks owing to the predominant feature extraction ...

Road traffic injuries cause considerable economic losses to individuals, their families, and to nations as a whole. Every year the lives of more than 1.25 million people are cut short as a result of a road traffic crash. A common cause of accidents is ...

Improving quality of life (QOL) has become an important issue for patients with neurological diseases such as ALS (amyotrophic lateral sclerosis) and SMA (spinal atrophy). At the same time, it is indispensable to secure a communication device that ...

In this paper, a linear camera calibration algorithm using one image based on distortion correction is presented. First, this algorithm takes advantage of first-order radial distortion coefficient to correct image primary and then extracts the control ...

Digital breast tomosynthesis (DBT) is a promising new technique for breast cancer diagnosis. DBT has the potential to overcome the tissue superimposition problems that occur on traditional mammograms for tumor detection. However, DBT generates numerous ...

The pose, illumination and facial expression discrepancies between two face images are the key challenges in face recognition. The deep Convolutional Neural Networks (CNNs) and the fast Sparse Representation-based Classification (SRC) have achieved ...

Vulnerable plaques recognition from IVOCT images is a valuable yet challenging task for computer-aided diagnosis and treatment of cardiovascular diseases. However, most existing supervised methods only used one kind of annotation information, and so ...

This paper proposes a new method which combine Singular Vector Decomposition with k-reciprocal encoding for the application of person re-identification(re-ID). When we use the Euclidean distance to retrieve person, it is observed that the weight vectors ...

This paper proposes a novel framework for speckle noise suppression and edge preservation using clustering algorithms in ultrasound images. The algorithms considered are K-means clustering, fuzzy C-means clustering, possibilistic C-means, fuzzy ...

DCT compression is widely used in H.265/HEVC for the video coding processing. This paper deals with enhancing the compression ratio by improving the Discrete Cosine Transform (DCT) by taking into account the sign-symbol (result after standard DCT ...

Tobacco grading needs an effective leaf detection algorithm to ensure accurate results in segmentation and feature extraction. Leaf detection in this research used Haar cascade classifier and image processing techniques to automatically detect tobacco ...

Modern digital video technologies have opened the avenues for the researchers to explore the ways for effective indexing and archiving of multimedia databases. Therefore, new concepts to mine multimedia databases have emerged, and people are doing ...

In this paper, Fabric defect detection is a challenging task because of the complex texture. Deep learning technology provide a promising solution. As a kind of deep learning object detection model. Single Shot Multibox Detector(SSD)achieves good ...

In recent years nodule candidate detection becomes the basis of the automated pulmonary nodule detection system, of which the the upper bound limit performance is determined by the sensitivity of nodule candidates detection. This paper is to improve the ...

This paper puts forward a method to construct a certain database for the process of solder paste defect inspection to sort and process various kinds of printing defect information, and realizes the data monitoring by Statistical Process Control (SPC) ...

Obtaining crop structural parameter information is an important way to study crop's growth, development status, and accumulation biomass. Currently, the measurement of vegetable crop's phenotypic parameters is time-consuming and can cause damage to ...

Speech is considered as one of the most efficient and effective way to communicate with each other. However, a deception is a very common phenomenon in speech communication. It is difficult to detect if anyone is actually telling the truth or not. This ...

In the development of a termite detection system, four hyperparameters including cost (C), gamma (γ), coefficient (r) and degree (d), must be conscientiously predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the ...

Profiles of temperature and pressure in a 3-D cylindrical basket filled with liquid food is studied and analyzed. Forced and free convection heating within non-thermal sterilization process (High hydrostatic pressure) of food is simulated and studied. ...

In China, various online government new media platforms, especially represented by MicroBlog and WeChat, have brought new channels for releasing authoritative information, strengthening the interaction with citizens, guiding the public opinion, and ...