Akansha Mehrotra

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This paper proposes a methodology to design filters that extract information from noisy signals. From a mathematical point of view, a method is used based on homogeneous polynomially parameter-dependent (HPPD) matrices of arbitrary degree. The optimal filter is then obtained by solving a convex optimization problem using off-the-self software. To show the(More)
This paper proposes an edge preserving filter for removal of impulse noise. Digital images received from various sources are often degraded due to impulse noise and thus become unsuitable for further processing. To overcome this degradation removal of impulse noise is very important. In this paper an effective and efficient method of impulse noise removal(More)
— In this paper, an unsupervised change detection technique of multispectral images based on wavelet fusion and Kohonen Clustering Network is presented. The proposed method fuses absolute difference and change vector analysis image using wavelet fusion rules. The fused image highlights the changed areas while suppress unchanged areas. The Kohonen clustering(More)
This paper presents an automated blood vessel detection method from the fundus image. The method first performs some basic image preprocessing tasks on the green channel of the retinal image. A combination of morphological operations like top- hat and bottom-hat transformations are applied on the preprocessed image to highlight the blood vessels. Finally,(More)
Edge detection of images is an important task in computer vision and image processing. Edge detection of noise free images is relatively simpler, but in most practical cases the images are degraded by noise. To find the edges from noisy images is a challenging task. This paper proposes a novel edge detection algorithm for images corrupted with noise. The(More)
— This paper presents an automatic method for exudate detection from colour fundus images based on Differential Morphological Profile (DMP).The detection of exudates is important for the identification of eye diseases such as diabetic retinopathy. The method involves of three main phases. In the first phase, pre processing tasks like Gaussian smoothing and(More)
In this paper, an unsupervised technique for change detection in satellite images based on Ant Colony Optimization is presented. Initially, a difference image is computed using normalized neighborhood ratio approach. The cluster centers are then computed using Ant colony based clustering algorithm. The cluster centers obtained from ant based algorithm are(More)
This paper proposes a N<inf>8</inf>(p) detail preserving adaptive filter for impulse noise removal. Impulse noise degrade the digital images due to which these images cannot be used for high level processing. Thus, image restoration becomes important. In this paper an effective and efficient method of impulse noise removal is proposed which not only removes(More)
An automatic building extraction method for very high resolution satellite images is presented in this paper. Two novel operators Differential Morphological Shadow Operator (DMSO) and Differential Morphological Building Operator (DMBO) for extracting shadows and buildings respectively are proposed. The method identifies shadows using DMSO. After masking out(More)
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