2018 Proceeding
2018 the 3rd International Conference on Multimedia and Image Processing(ICMIP 2018) provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in this exciting field. ICMIP 2018 will be held in Guiyang, China, during March 16-18, 2018.
Proceeding Downloads
Edge Detection Method for Terahertz Image Based on Principal Component Analysis and Active Contour Model
Terahertz images are usually blurry and inhomogeneous, thus it has poor performance to use traditional active contour models to detect the edges in terahertz image. In order to improve the robustness and efficiency of edge detection for terahertz images,...
Multi-focus Color Image Fusion Scheme Using NSST and Focus Region Detection
Aimed at low contrast, color distortion, loss of edge details and discontinuous phenomenon at border of focused region problems in the existing color image fusion methods, this paper proposes a novel color image fusion scheme by using nonsubsampled ...
GLNet for Target Detection in Millimeter Wave Images
Millimeter wave imaging can be used to detect objects hidden under clothes and it does no harm to human body, thus it is useful for human body inspection. However, due to limitation of technology, the image is usually noisy, which leads to a great ...
Hierarchical Building Extraction from High-resolution Remote Sensing Imagery Based on Multi-feature and Multi-scale Method
In this paper, according to the building characteristics in high-resolution remote sensing imagery, a multi-feature and multi-scale method is proposed. First, based on imagery processing, the building index is constructed by multi-scale and multi-...
Brain Tumor Segmentation Using Concurrent Fully Convolutional Networks and Conditional Random Fields
We propose a concurrent Fully Convolutional Networks(CFCN) structure which contains three Fully Convolutional Networks(FCN). Gaussian filter, Mean filter and Median filter are chosen to pre-process the original multimodal MR images. Then, we fuse the ...
Automatic Coronary Artery Segmentation in X-ray Angiograms by Multiple Convolutional Neural Networks
Accurate coronary artery segmentation in X-ray angiographic images is a challenging task due to the low image quality and presence of artifacts. This paper proposes an automatic vessel segmentation method in the X-ray angiographic images using ...
Road Region Segmentation of Remote Sensing Images Based on K-means and PCNN
Depend on K-means clustering algorithm has the characteristics of simplicity, fast and good clustering effect, and Dynamics and characteristics of synchronous pulse in pulse coupled model image segmentation, an image segmentation method based on ...
Adaptive Learning Based Active Noise Cancellation
Synchronous audio system is a broadcasting system that speakers from different locations can play the same source simultaneously. In addition to the synchronous playback, the system also can be used to cancel the sound of another speaker. However, the ...
A Link Performance-based Failure Recovery Approach in SDN Data Plane
SDN is an innovative network architecture, which makes network programmable. Control plane and data plane are decoupled by southbound interface, and the network management are centralized to the control plane, which enables dynamic allocation of data ...
An Image Encryption Scheme Based on Fractal Interpolation
In this paper, a novel chaotic image encryption scheme based on the inverse fractal interpolation function system is proposed. The inverse fractal interpolation function system associated with fractal interpolation surface is applied to generate chaotic ...
Cryptanalysis of an Enhanced Sub-image Encryption Method
The paper presents a cryptanalysis of an enhanced sub-image encryption method recently proposed by Wang et al. in Optics and Lasers in Engineering 86(2016). Their paper shows that a parallel sub-image encryption method proposed by Mirzaei et al. in ...
Study on Infrared Stealth Performance Evaluation Based on Convolution Neural Network
In the future battlefield environment, a fast, objective and accurate target infrared stealth performance evaluation method is of great significance to improve the survivability of the battlefield. Through the study of infrared stealth performance ...
Crime Scene Investigation Image Retrieval with Fusion CNN Features Based on Transfer Learning
Crime scene investigation (CSI) image retrieval plays an important role in police case solving. In order to relieve the problem of over-fitting in the training of Convolutional Neural Network (CNN) model due to the limited number of CSI images, this ...
Imaging Experiment of Monostatic and Bistatic UWB SAR at UHF-band
Due to the intrinsic property, ultrahigh frequency ultrawideband (UHF UWB) synthetic aperture radar (SAR) has lately become of a particular interest to the SAR community. Monostatic and bistatic UHF UWB SAR has the well foliage penetrating ability, high-...
Fast Time-domain Method for Bistatic Forward-looking Imaging Radar
The fast time-domain algorithm (FTDA) for the bistatic forward-looking synthetic aperture radar (BFSAR) imaging is presented in this paper. Here, the subimage is represented in the slant range plane instead of the ground plane. The FTDA includes the ...
A Fast Weighted Registration Method of 3D Point Cloud Based on Curvature Feature
In order to realize the fast and accurate registration of 3D point cloud data, a new fast weighted registration method is proposed in this paper. Firstly, using curvature feature, the method samples the original 3D point cloud data to quickly find ...
Classification of Bacterial and Viral Childhood Pneumonia Using Deep Learning in Chest Radiography
Over decades, computer aided diagnosis (CAD) system has been investigated for detection of lung diseases based on chest X-ray images. Incited by the great success of deep learning, in this work, we propose a novel CAD system to identify bacterial and ...
Grain Boundary Reconstruction of Metallographical Image Based on Active Contour Model and Mathematical Morphology
In this paper, a grain boundary reconstruction method of metallographical image based on active contour model and mathematical morphology is proposed. Firstly, L1 norm is introduced into CV model, which combined with local binary fitting. The normalized ...
Delving into Fully Convolutional Networks Activations for Visual Recognition
Convolutional Neural Networks (CNNs) have attracted significant attention in visual recognition. To fully exploit the potential advantages of the CNN models for image classification, this paper introduces several new ideas, ranging from feature ...
Multi-Focus Image Fusion Using Cross Bilateral Filter in NSCT Domain
Given that the edge details of the image are not well extracted into the fused image, the cross bilateral filter (CBF) which considers both gray level similarities and geometric closeness of the neighboring pixels without smoothing edges is combined ...
Single Image Dehazing with Lab Analysis
Images acquired by visual framework are genuinely corrupted under cloudy and foggy climate, therefore affecting detection, tracking and recognition of images. Thus, restoring the true scene from a hazy image is of great significance. To solve this ...
Research of Screening Method Based on Glaucoma Image
Glaucoma is caused by the increase of intraocular pressure, and it is easy to cause blindness. By detecting cup-disk ratio (the ratio of optic cup area to optic disc area, CDR) of patients, Glaucoma can be screened. By using high-resolution retinal ...