This proposed work discusses about the breast cancer detection at the earlier stage on mammogram images using k-means algorithm. This approach has been done in three steps. The primary step is pre-processing, which removes noises in the images. Then canny edge detection is used to detect the edges of images. After finding the edges morphological operation is done to get clear mass. Then origina...

Identifying individuals using biometric methods has recently gained growing interest from computer vision researchers for security purposes at places like airport, banks etc. Gait recognition aims essentially to address this problem by identifying people at a distance based on the way they walk i.e., by tracking a number of feature points or gait signatures. We describe a new model-based featur...

Bit-plane slicing is a method which divides the image into many binary image planes and categorizes the image data into most significant and least significant information. In this paper a new edge detector using the most significant image data to detect the edges in the bacterial images is developed. This proposed method finds the edges in the higher order bit-planes using contouring technique ...

We propose a computational step, called surround suppression, to improve detection of object contours and region boundaries in natural scenes. This step is inspired by the mechanism of non-classical receptive field inhibition that is exhibited by most orientation selective neurons in the primary visual cortex and that influences the perception of groups of edges or lines. We illustrate the prin...

the logic of animation making from real video fully depends on various image processing techniques and various kinds of filtering like Gaussian filtering, bilateral filtering, and flow based bilateral filtering, meanshift filtering etc. It also includes edge detecting methods like canny edge detector, dog edge detector, flow based dog edge detector etc. All this technique works differently on t...

The principle of multiresolution segmentation was represented in detail in this study, and the canny algorithm was applied for edge-detection of a remotely sensed image based on this principle. The target image was divided into regions based on object-oriented multiresolution segmentation and edge-detection. Furthermore, object hierarchy was created, and a series of features (water bodies, vege...

This paper presents a theoretical and experimental analysis of the bias in the localization of edges detected from the zeros of the second derivative of the image in the direction of its gradient, such as the Canny edge detector. Its contributions over previous art are: a quantification of the localization bias as a function of the scale σ of the smoothing filter and the radius of curvature R o...

In this paper, the use of active illumination is extended to image segmentation, specifically in the case of overlapping particles. This work is based on Multi-Flash Imaging (MFI), originally developed by Mitsubishi Electric Labs, to detect depth discontinuities. Illuminations of different wavelengths are projected from multiple positions, providing additional information about a scene compared...

This paper concerns the in#uence of edge direction on the estimation of edge contrast and orientation. We present an analytical study of general "rst-order detectors. We show that the gradient estimated using radial "lters is not a!ected by edge orientation. For non-radial "lters, the gradient may be a!ected by edge orientation. For instance, we "nd that the estimated edge orientation using a n...