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There is always noise inside the digital images. Noise is an unwanted component of the image. The existence of noise in a face image can degrade the accuracy of a face recognition. Therefore, we need a proper method that can cope noise or restore the quality of the image. The best method to overcome noise in the image is to use smoothing (filter). In this research, we discuss some techniques to overcome...
In this paper, a novel methodology has been proposed for speckle noise reduction of intravascular ultrasound (IVUS). IVUS, a standard coronary artery diagnosis imaging protocol, is degraded with speckle noise due to the coherent interferences of the ultrasound reflected from the scatters. Presence of such noise creates problem in segmentation and classification of these images. Non local means filter...
In recent years emergence of many intelligent autonomous systems are possible due to the tremendous advancement of various technologies like computer vision and automation and control engineering with sensor technology. One such intelligent system is autonomous underwater vehicle (AUV) for ocean floor mapping by SONAR technology. Success of this autonomous smart and precise intelligent system depends...
The presence of large number of spectral bands in the remote sensing images results in difficulty of identifying various land cover regions. Land cover classification is one of the recent researches which find more application in satellite image processing. It is important to recognize different land classes from a multispectral satellite image as the raw image contains noises and less clarity. The...
We have developed and analyzed Independent Component Analysis (ICA), Locality Preserving Projections (LPP), Minimum Average Correlation Energy (MACE) Gabor Filters, Score Level Fusion Techniques (SLFT) for Face Recognition in the presence of various noises and blurring effects. ICA considers statistical characteristics in second order or higher order. LPP is used to generate an unsupervised neighborhood...
In this paper, a novel technique has been used for underline detection and removal in a Bengali and English document using Gabor filter and connected component analysis. In the underline detection module we first use Gabor filter in a specific direction to detect underline region and then use connected component analysis to detect particular underline. In second part i.e. underline removal module...
Diabetic retinopathy (DR) is a chronic disease which causes visual impairment in industrialized countries. Automatic detection of DR early markers can contribute to the diagnosis and screening of the disease. The aim is to automatically detect early signs of red lesions. So the need arises for fast and efficient system which detect whether the patient is suffering from diabetic retinopathy or not...
Removal of noise is an important criterion of image processing to improve the quality of an image. There are many unwanted elements present in image which are commonly known as noise that should be removed from an image for any further processing. Mean and Median filter are normally used to reduce noise present in an image and for preserving useful detail in the image. Adaptive filtering is more selective...
Great progress has been achieved in face recognition in the last three decades. However, it is still challenging to characterize the identity related features in face images. This paper proposes a novel facial feature extraction method named Gabor ordinal measures (GOM), which integrates the distinctiveness of Gabor features and the robustness of ordinal measures as a promising solution to jointly...
We aim to learn local orientation field patterns in fingerprints and correct distorted field patterns in noisy fingerprint images. This is formulated as a learning problem and achieved using two continuous restricted Boltzmann machines. The learnt orientation fields are then used in conjunction with traditional Gabor based algorithms for fingerprint enhancement. Orientation fields extracted by gradient-based...
The paper deals in short with the various algorithms useful in determining the pitch distances of a linear scale. The main advantages and drawbacks from the point of our application are summarized. The environmental and distortional influences are discussed and some computational aspects are given.
In view of, investigation study of anthropogenic acoustic signal is created in the ocean both purposefully and unintentionally. The Ship driven noise from an automated noise measurement system deployed in region of low frequency of Bay of Bengal. The result is ship noise signal that is high-intensity and acute, as well as lower-level and chronic. The locations of ship driven noise signal are along...
In the satellite images the noise is present such as mist, clouds etc., to remove the noise the Haar wavelet transforms are applied. Using the Image segmentation algorithm the major issue Deforestation is evaluated by comparing the image taken from the year 1939 and 2000. Deforestation is a serious issue that most nations face today. Deforestation is primarily due to the urbanization. Most nations...
In this paper, a new snake external force is proposed as the gradient of the image local energy diffusion potential. The local energy is computed using a bank of orthogonal log Gabor filters. The proposed Local Energy Diffusion Field (LEDF) is computed by energy diffusion Partial Differential Equation (PDE). The results of the LEDF snake were compared with the GVF snake in terms of capture range,...
A nano-power 4th-order band-pass filter operating from a 0.5 V supply voltage with an adjustable center frequency, ranging from 250 Hz to 4 kHz (4 octaves), is presented. The filter is constituted from cascadable 2nd-order circuit cells that are realized by a network of three transistors and two capacitors comprising only one branch of bias current. As a result of the compact low voltage circuit architecture,...
One of the important factors for in-loop filter of video codec is low-delay capability for encoding and decoding. In this paper, we employ non-local means filter between sample adaptive offset and adaptive loop filter to the reference software of High Efficiency Video Coding HM7.0, and propose largest coding unit (LCU) based framework for non-local means filter that can reconstruct a decoded picture...
Batik, as a cultural heritage from Indonesia, has a lot of motifs based on certain patterns. This paper discusses feature extraction methods for the recognition of batik motifs in digital images. In this study, the use of several feature extraction methods have been compared in terms of their performance with several scenarios for testing level accuracy. The methods include Gray Level Co-occurrence...
In this paper, a novel image enhancement method is presented. Firstly, an image filter based on Particle Swarm Optimization is adopted to eliminate noise. And then, image enhancement by Particle Swarm Optimization and DWT is presented to improve image quality. Experimental results demonstrate that this method outperforms the existing well-known methods.
We present a novel thinning algorithm to automatically extract skeletons from images without artefacts. It is well known that the major problem of existing thinning algorithms is the generation of artefacts such redundant branches due to noises in images. In this approach, we propose to use oriented Gaussian filters to classify ridges and edges, and to determine principal directions. As oriented filters...
Texture boundaries or edges are useful information for segmenting a texture image. We present the experimental results of texture edge detection using 1-D and 2D multichannel, multiresolution gabor, log gabor and circular gabor filters and self organizing map (SOM). The traditional Gabor function is modified into a circular symmetric version to achieve rotation invariance. The log gabor provides the...
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