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In this paper, a novel SSIM-based NLM algorithm is proposed. We replace the exponential weighted kernel function with a cosine coefficient weighted Gaussian kernel function and incorporate the structural similarity (SSIM) index, which is the state-of-the-art image quality assessment measure, into the NLM image denoising model. Experimental results indicate that the proposed SSIM-based optimal NLM...
We present a reduced dimensionality, information rich (RDIR) visual representation for scene information that distills the most distinguishing elements in an image, enabling scene classification by humans and computers under reduced dimensionality conditions. The representation utilizes the Gist model [1] to convey scene information in low bandwidth conditions, exhibiting enhanced classification performance...
The paper proposes a new hybrid error concealment for the multi-view video (MVV). Firstly, the lost macroblocks (MBs) are classified into the static MBs and the motive MBs by the motion information. Then the static MBs are repaired by image inpainting, which is improved to apply to inter and inter-view frame. The motive MBs are fixed by outer boundary matching algorithm (OBMA), in which candidate...
This paper proposes a cheap image processing method for visual compass in the robot soccer context. An offline map is constructed by using color transition histogram features. When a feature is extracted, we calculate maximum likelihood orientation of that feature over the pre-calculated map. This instantaneous orientation information updates orientation belief with given mixing constant. We presented...
Recently, medical modalities such as low dose CT, MRI and tomosynthesis have focused on generating noise-free images by using fewer measurements. However acquiring or using less data to reconstruct an image increases the noise level in the image. Thus, image denoising has been one of the most active research areas due to the noise existence in most medical imaging modalities. Due to its virtue of...
Indexing requirement for efficient accessing to visual data has been increased with the widespread use of multimedia applications. Satisfaction of this requirement mostly depends on the automatic extraction of objects in the visual data. In this study, component-based object extraction method is compared with object extraction in its entirety. Applied method, implemented system and conducted tests...
In this study, image processing based low cost indoor localization system was developed. Image processing algorithm was developed in C programming language and Open CV image processing library. Frames were captured by a USB camera which was designed for operating at 850 nm wave length to eliminate environmental disturbances. A narrow band pass filter was integrated to camera in order to detect retro...
In this study, a chess playing robotic arm system which has 5 degree of freedoms is developed. System comprised with various modules such as; main controller, image processing, machine learning, game engine and motion engine of robotic arm. Image processing unit is triggered only whenever opponent starts to move chessman. Meanwhile, images acquired in a specific time intervals are transmitted to the...
In this study a new approach that is used for plotting raster based image files, is proposed. Proposed method is tested on the prototype plotter which is designed as a Cartesian-robot architecture. Work list is produced by the proposed edge tracking algorithm on the canny edge detector based images. Outputs are generated from the work list as a converted atomic move commands which can be interpreted...
Non-metallic chemical components (silicate, sulfide, alumina, globular oxide) originated from production process cause inclusions in steel. These inclusions are one of the important factors that directly affect quality of steel. Before raw steel is used, the detection and classification of the inclusions according to international standards ASTM E45 will prevent faults that may occur during or after...
In this study, quality of class of final product is intended to automatically determine by setting properly distribution and number of defects on wood. Nowadays number of defects and quality of wood is determined by their distribution. The most common type of defect is called knot by reducing the resistance of a wooden part. Selection and classification of wood manually is difficult, costly and time-consuming...
A pantograph-catenary system transmits the electric energy that an electrified train needs from electric power substation to train. Pantograph catenary system is extremely important in order to carry out continuous of the transmission. In this study, a model and image processing based arc detection system is proposed. Arcs occurred in a video frame are detected by using image processing techniques...
In this study, a cascaded structure includes algorithms of Local Zernike Moments, Local XOR Patterns and Global Zernike Moments is used for Facial Expression Recognition. 10 patches are specified on the images in CK+ dataset and over those pathces 3 methods are applied respectively. By concataneting of the moment coefficients, the feature vector generated and classified with Support Vector Machines.
Automatic separation of defective eggs from qualified eggs reduces visual control difficulties which are done using human power as well as ensures improvement on the quality control process. In this paper, eggs are classified as dirt eggs, crack eggs and clean eggs as well as separation of defective eggs from qualified eggs. Hybrid solution is applied for detection defects on eggshell. Firstly, egg...
In this paper, Image Processing Based Position Estimation System, developed by TUSAŞ-Türk Havacılık ve Uzay Sanayii AŞ., for the computation of accurate angular and translational position of the heliped, by the help of an additional camera system on a rotary unmanned aerial vehicle aimed to make an autonomous take-off and landing, is described.
The spectral matching, statistical and kernel based methods are the most widely known classification algorithms for hyperspectral imaging. Spectral matching algorithms try to identify the similarity of the unknown spectral signature of test pixels with the expected signature. In this study, an efficient spectral similarity method employing Multi-Scale Vector Tunnel Algorithm (MS-VTA) for supervised...
In this study, a model based approach is proposed for the recognition of the pantograph type used in electric trains. The shape of the pantograph-catenary changes according to usage conditions of electric trains. A geometric model of the pantograph is constructed by using images taken from the pantograph-catenary system. The pantograph type is determined by using the constructed model. First, all...
In this paper, an algorithm which is implemented for cancer detection in image processing and the results of the algorithm are mentioned. Researched work has three main steps. In first step, images are passed through significant steps for noise removal; at the second step, various histogram thresholds are calculated and at the last step cancer is detected with respect to calculated thresholds. As...
Cloud detection is an important subject for both present observatories and observatory site selection. Nowadays cloud detection using all sky cameras is the most promising method by the help of sophisticated cameras. In this work we propose a cloudiness analysis methods which uses all sky camera images. Daytime and night time imgaes were classified according to their present time duration, and different...
The infrared (IR) cameras plays an important role in the measurement and analysis of object signature. However, especially the scientific IR cameras that are used for research and military purposes have manual focusing system that reduces the sensitivity and reliability of the measurement taken. Camera autofocus algorithms extract various features from the camera images in order to define a measure...
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