Filtering Corrupted Image and Edge Detection in Restored Grayscale Image Using Derivative Filters
نویسندگان
چکیده
In this paper, different first and second derivative filters are investigated to find edge map after denoising a corrupted gray scale image. We have proposed a new derivative filter of first order and described a novel approach of edge finding with an aim to find better edge map in a restored gray scale image. Subjective method has been used by visually comparing the performance of the proposed derivative filter with other existing first and second order derivative filters. The root mean square error and root mean square of signal to noise ratio have been used for objective evaluation of the derivative filters. Finally, to validate the efficiency of the filtering schemes different algorithms are proposed and the simulation study has been carried out using MATLAB 5.0.
منابع مشابه
Comparative Study of Various Impulse Noise Reduction Techniques
Removal of noise is an essential and challengeable operation in image processing. Before performing any process, images must be first restored. Images may be corrupted by noise during image acquisition and transmission. Noise and blurring effects always corrupts any recorded image. To reduce the impulse noise level in digital images various filters were introduced amongst we have presented a co...
متن کاملImproved sorted switching median filter for removal of impulse noise
Digital image processing plays important role in our daily life. Digital Image Processing involves the modification of digital data for improving the image qualities with the aid of computer. The processing helps in maximize the clarity, sharpness of image and details of features of interest. The digital image is given as input into a computer and computer is programmed to change data with the ...
متن کاملGeological noise removal in geophysical magnetic survey to detect unexploded ordnance based on image filtering
This paper describes the application of three straightforward image-based filtering methods to remove the geological noise effect which masks unexploded ordnances (UXOs) magnetic signals in geophysical surveys. Three image filters comprising of mean, median and Wiener are used to enhance the location of probable UXOs when they are embedded in a dominant background geological noise. The study ar...
متن کاملNoisy images edge detection: Ant colony optimization algorithm
The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...
متن کاملTwo Stage Robust Filtering Technique to Remove Salt & Pepper Noise in Grayscale Image
Digital images are playing a key role but while transmitting the image more disturbances are produced by the noise which corrupts the image. Denoising leads to good quality image and restoration of original information. To achieve denoising, various noise models are referred based on additive and multiplicative type also. Some are Gaussian noise, salt & pepper noise, speckle noise and Quantizat...
متن کامل