This paper presents a hybrid approach to face detection and feature extraction. The remarkable advancement in technology has enhanced the use of more accurate and precise methods to detect faces. This paper presents a combination of three well known algorithms ViolaJones face detection framework, Neural Networks and Canny edge detection method to detect face in static images. The proposed work ...

We propose a biologically motivated computational step, called surround inhibition, which improves the performance of contour detectors. The mechanism of surround inhibition is exhibited by the majority of the orientation selective neurons in the primary visual cortex of macaque monkeys and has been demonstrated to influence the visual perception of man as well. We illustrate the principle and ...

An efficient method of using explicit shape models of objects in boundary instantiation is to apply one dimensional edge searches in locations where boundaries are likely to occur. In many important cases, linear edge operators produce at best only weak responses. We investigate here the use of three different statistical measures applied over a sliding 'dipole' as candidates for detecting weak...

Conventional Canny edge detector can detect edges in image with additive noise effectively but not ultrasound image that are corrupted by multiplicative speckle noise which alleviates image resolution resulting in inaccurate characterization of object features. In this paper, we proposed to incorporate the modified SRAD into the Canny edge detector to replace the Gaussian blurring in the conven...

This paper compares the performance of different edge detection methods like Sobel, Prewitt, Robert’s, Canny, Laplacian, Laplacian of Gaussian with Gabor filter on number of images. It has been concluded that in case of natural images a Gabor filter yields better results than other operators but in case of medical images like CT, PET, MRI, the Canny operator shows better results as it provides ...

This paper describes a program developed to allow semi-automatic detection and enhancement of linear features in aerial photography. The program employs three different edge detectors namely Sobel, Deriche and Canny as well as morphological operations. The effectiveness of each of these operators and mathematical morphology is compared. Classification accuracy evaluation demonstrated that the C...

lineaments are the most important phenomena of geological exploration of hydrocarbon reservoirs . concepts in order to map the contours of land need so much time and money. one of the most famous methods in lineaments extraction is satellite image processing. in this paper, an overview of lineament extraction methods and a new method based on canny edge detection algorithm is raised. the result...

One of the difficult problems recognized in image processing and pattern analysis, in particular in medical imaging applications is boundary detection. The detection of skin lesion boundaries accurately allows, skin cancer detection .There is no unified approach to this problem, which has been found to be application dependent. Early diagnosis of melanoma is a challenge, especially for general ...

Conventional Canny edge detector can detect edges in image with additive noise effectively but not ultrasound image that are corrupted by multiplicative speckle noise which alleviates image resolution resulting in inaccurate characterization of object features. In this paper, we proposed to incorporate the modified SRAD into the Canny edge detector to replace the Gaussian blurring in the conven...