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In this paper the content based image retrieval system, using hybrid approach of features such as Texture and Color is presented. The color feature is extracted through Color Histogram and texture is extracted using Haar Wavelet Transformation. The combination of these features is robust to scaling and translation of objects in an image. The proposed system has demonstrated a promising and faster...
In this paper, a new content-based image retrieval (CBIR) scheme is proposed in neutrosophic (NS) domain. For this task, RGB images are first transformed to three subsets in NS domain and then segmented. For each segment of an image, color features including dominant color discribtor (DCD), histogram and statistic components are extracted. Wavelet features are also extracted as texture features from...
Cloud covers normally present in satellite images which is one of the major obstacle in the processing of satellite images. Remote sensing images from tropical regions are partially unusable especially because of the presence of clouds. For improving the accuracy of land cover classification in satellite images cloud detection is useful. The major obstacle in cloud detection approach is the misclassification...
In this paper; we propose new method named local full-directional pattern (LFDP) for content-based image retrieval (CBIR). In addition, instead of applying the algorithm to the image itself, we apply it to a new image constructed by getting mean of 3×3 sub-regions gray value as each pixel's value. In local binary patter (LBP) the gray value difference of the central pixel and its neighboring pixels...
With the development of Internet technology, Internet security issues become increasingly prominent. People transfer a large amount of digital images on the Internet every day, in order to protect the security of the digital image, the most direct and effective way is to encrypt the digital image. Chaotic encryption system with natural characteristics, chaotic image encryption can effectively protect...
Analysing the retinal colour fundus is a critical step before any proposed computerised automatic detection of eye disease, especially Diabetic Retinopathy (DR). The retinal colour fundus image contains noise and varying low contrast of the blood vessel against its surrounding background. It makes it difficult to analyse the proper order of the vessel's network for detecting DR disease progress. The...
It is a new approach to process the transmission line icing insulators field image by the method of image processing. However, due to the field environment of icing insulators is complex and harsh, the background of the field icing insulators image becomes complicated, contrast and sharpness and other factors becomes lower, which have seriously affected the timeliness and accuracy of its follow-up...
In this paper a method for multiple human detection in the image has been presented. This method uses differential evolution (DE) algorithm to improve window position detection speed and HOG-LBP algorithm for feature extraction. Fitness function for DE algorithm is SVM and in the final state, a postprocessing on detected windows by DE algorithm is performed. This method has been tested on INRIA datasets...
Image inpainting is the task of removing undesired objects or flaws in images. This work advances an exemplar-based global optimization image inpainting algorithm. For that purpose, the inpainting area is iteratively refined through the minimization of a cost function. The minimization outcome depends on the initial values of the inpainting area. We compare three initialization methods with a new...
For the medical X-ray image with low brightness, low contrast and noise, we proposed an image enhancement algorithm which based on wavelet domain homomorphic filtering and contrast limited adaptive histogram equalization (CLAHE). Firstly, the image is decomposed by wavelet transformation, the image is decomposed into low-frequency and high-frequency coefficients of 1st layer of wavelet domain. Then...
In this paper, the enhancement of the gray scale and color images, by using the weighted histogram equalization and also discrete signal-induced heap transforms (DsiHT), which are composed by elementary rotations or Givens transformations, is described. In weighted histogram equalization method, the well known histogram equalization method has been manipulated with polynomial weights to perform the...
Local patterns have two problems: 1) the traditional local patterns methods only consider the frequency of each pattern, and does not consider the co-occurrence information between adjacent pixels pairs in the image; 2)the traditional methods limit on the gray texture analysis, ignoring the importance of color information. To address above problems, a novel method is proposed for color image retrieval...
Medical imaging is playing a vital role for development of medical facilities in rural areas. It has reduced the gap between patients and doctors, especially in case of distance hospitals for image diagnosis. But in case of emergency data transmission it is difficult to transfer a 10MB of images and videos. They can take half an hour to communicate even at higher speed. Many times minor part of the...
Digital images are used in wide range of applications and mostly these images are degraded due to transmission and acquisition process. Removal of noise from images is still a challenging task for many researchers because there is always a trade-off between noise removal and fine edge preservation. This paper is based on image denoising using shearlet transform. They are optimally sparse and have...
This paper proposes using both of the Histogram matching and wavelet fusion as an enhancement technique for infrared images (IR). Evaluation metrics for image enhancement includes entropy, standard deviation, edge intensity, contrast and average gradient. Results revealed that histogram matching of IR images to visual images enhances of the appearance of the images. Moreover, wavelet fusion can achieve...
Facial Expression is the easy way of telling/showing inner feelings. The Facial Expression Recognition system has many applications including human behavior understanding, detection of mental disorders, synthetic human expressions and many more. This paper presents a quick survey of facial expression recognition as well as a comparative study of various features on JAFFE and CK datasets. It mainly...
In this research work a novel color correction algorithm for enhancing the color of digital images captured from low resolution cell phone cameras is proposed here. The procedure involves capturing images using various cell phones like Samsung, Nokia and Lenova having resolution of 2 mega pixels, 3 mega pixels and 5 mega pixels respectively. The scope of the work includes image acquisition using cell...
This paper describes the searching problem of images stored in big databases i.e. content based image retrieval (CBIR) system. It represents the behaviour and proposes solution for it. In general vast deployment in various applications therefore the capacity of image database increases because it's needed efficient CBIR method. This paper uses the primary image features like colour, shape and texture...
The Content Based Image retrieval (CBIR) is a very important for retrieving the most visual relevant images from the large image database. The various low level features are extracted based on their visual content which are color, shape, texture etc. The paper gives the overview of color and texture feature extraction techniques like color histogram, color correlogram, color co-occurrence matrix and...
Pedestrian detection has been always a challenging problem in computer vision. Numerous approaches based on features extraction and classification have been proposed over the years. In this paper, we present a novel pedestrian detection approach based on supervised classification. We propose here the use of basic statistical operators to adapt support vector regression (SVR) to binary classification...
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