[PDF] Top 20 A SURVEY ON IMAGE PROCESSING TECHNIQUES

... Sanchay Dewan et al., [7] discuss about number plate recognition system. The ant colony optimization technique is used to design the system. This system can be implemented in detecting stolen vehicles, surveillance ... See full document

... digital image processing is an important aspect of photography considering that technology keeps ...digital image processing techniques that provides a wide application variety in ... See full document

... Abirami et al. [9] devised a novel automated Glaucoma detection system. The proposed system deals with the Image obtained from Stratus Anterior Segment Optical Coherence Tomography (AS-OCT). The stratus Anterior ... See full document

... A visual surveillance task starts with detection of motion. Motion detection segments regions corresponding to moving objects from the rest of an image. All other subsequent processes like tracking and behavior ... See full document

... on image de-noising and edge enhancement of noisy multidimensional imaging data ...of image de-noising, Adaptive Multiscale Product Thresholding based on 2-Dwavelet transform is ...for image ... See full document

... for image dataset ...the image dataset into various ...multiple image databases. Rajshree S. Dubey et al. (2010) described about an Image mining techniques which is based on the Color ... See full document

... using image processing ...for image segmentation ...discuss image processing technique like first image acquisition, second pre-processing, third segmentation, fourth ... See full document

... brain image with normal and benign or malignant classes This approach is efficient for classification of the human brain normal or abnormal (benign or malignant tumor) with high sensitivity, specificity and ... See full document

... video image processing algorithm is caused by camera placement (height and offset distance) and by the deflection of the line of sight with respect to the ...video image processing algorithm ... See full document

... digital image processing algorithms and implementations that are able to detect characters from images, selection of an appropriate technique that can straightforwardly acclimatize to diverse types of ... See full document

... Prasad Babu et.al [14] developed a software model, to suggest remedial measures for pest or disease management in agricultural crops. Using this software, the user can scan an infected leaf to identify the pest or ... See full document

... It was difficult to explain facial expressions by simple measurements of wrinkles or textures. So, facial expression intensity measurements were also started. Again, it was further evolved that simple static images do ... See full document

... Cancer cells are defined with wide range of features and may be easily misinterpreted by radiologists while reading large amount of results provided in screening programs. To help radiologists provide an accurate ... See full document

... like image acquisition, image pre-processing, image segmentation, feature extraction and ...images processing and machine that can be applied to plant disease detection and ... See full document

... Ramesh Babu Vallabhaneni, et.al [17] proposed an automatic brain tumor detection approach for the images that include noise in them. Edge Adaptive Total Variation Denoising Technique (EATVD) was used to implement the ... See full document

... Huey Nee Lim et al.[4],presents a combination of color and morphological based segmentation techniques for blood cells segmentation on microscopic images. K-means clustering is implemented for color based ... See full document

... for processing resources for compression and ...(Depth image based rendering) have been proposed by Advanced Three Dimensional Television System Technologies (ATTEST) of European information society ... See full document

... Jinsheng Xiao [15] proposed a new non-linear discontinue partial differential equation (PDE) that models the level set method of gray images. A discrete method is also proposed to find numerical solution and to implement ... See full document

... includes Image Filtering and Binarisation) is required as the MR images consists of unwanted artefacts primarily because of human errors such as handling MRI Machine by operators, patient’s motion during imaging, ... See full document

... various image processing techniques for automatic detection of ...fundus image fusion, image segmentation, feature extraction, image enhancement, morphology, pattern matching, ... See full document