The Nuchal Translucency thickness measurement is made to identify the Down Syndrome in screening first trimester fetus and presented in this paper. The mean shift analysis and canny operators are utilized for segmenting the nuchal translucency region and the exact thickness has been estimated using Blob analysis. It is observed from the results that the fetus in the 14th week of Gestation is ex...

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...

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...

The novelty of this paper is edge detection in binary and color images using the Ricci curvature function is proposed. The reason for this is, if the edges in an image are determined accurately, then all of the objects can be located and basic image properties can be measured. In this paper we represent images as a manifold and make use of differential geometry in image processing, namely the R...

This paper proposed an edge detection scheme which is deduced from Fresnel diffraction. Analysis in this paper shows that Fresnel convolution kernel function performs well on edge enhancement when images are transformed into complex functions. Due to its mathematical complexity, the method is simplified into a linear convolution filter. The new edge detector is designed based on the simplified ...

In this paper, a new algorithm for edge detection based on fuzzyconcept is suggested. The proposed approach defines dynamic membershipfunctions for different groups of pixels in a 3 by 3 neighborhood of the centralpixel. Then, fuzzy distance and -cut theory are applied to detect the edgemap by following a simple heuristic thresholding rule to produce a thin edgeimage. A large number of experime...

This paper presents a novel noise robust edge detector based upon the automatic anisotropic Gaussian kernels (ANGKs), which also addresses the current problem that the seminal Canny edge detector may miss some obvious crossing edge details. Firstly, automatic ANGKs are designed according to the noise suppression, edge resolution and localization precision, which also conciliate the conflict bet...

In this paper, an improved DWT based edge detection algorithm for noisy images has been proposed. The proposed edge detection method works efficiently on images influenced by noise and is able to differentiate between noise and real edges, thus detecting the actual edges. In the proposed algorithm the DWT edge detector separates detail coefficients at the time of decomposition, thus it has to e...

Um medizinische Instrumente während MR-geführter minimalinvasiver Interventionen zu detektieren und zu tracken, werden in dieser Arbeit Katheter mit Resonanzmarkern bestückt. Im Bereich dieser Marker kommt es zu einer Flipwinkelerhöhung, welche sich im Bild als helles Artefakt abzeichnet. Der übrige Katheter setzt sich als dunkler Streifen vom Bildobjekt ab. Es werden zwei Echtzeitverfahren zur...

This paper proposes a comparison of two motion estimation algorithms for crowd scene analysis in video sequences. The first method uses the local gradient supported by neighbouring topology constraints. The second method makes use of descriptors extracted from points lying at the maximum curvature along Canny edges. Performance is evaluated using real-world video sequences, providing the reader...