This paper presents a study for the orientation effectiveness on the detected areas for many sampled objects when many type of the edges detection are applied. The Canny, Laplace, Prewitt and Sobel are applied for three objects (pencils’ sharpeners with different colors). The MBR (Minimal Bounding Rectangular) are used to calculate the area in pixels, centroid and the orientation. The MR (Misclassification Ratio) is used to find the different between the edges detection techniques. The Canny edges detection technique gives the best result for the three used object using all orientations
Edge detection in a digital image is one of the important jobs in digital image processing. Edges in...
In this paper, we propose a mechanism of orientation detection system based on edge-orientation sele...
In this paper, we propose a mechanism of orientation detection system based on edge-orientation sele...
The method involves transforming an image initially using a non-decimated multi-resolution transform...
This chapter discusses the applications of orientation analysis for microfabric studies and many dif...
The evaluation of a particular set of edge detection schemes is described. The results obtained are ...
This article proposes a new method for robust and accurate detection of the orientation and the loca...
Since edge detection is in the forefront of image processing for object detection, it is crucial to ...
Edge is defined as the boundary pixels that connect two separate regions. Edges are local changes in...
Abstract: Edge detection is in the forefront of image processing for object detection, it is crucial...
Computer vision is one of field of image processing. To be able to recognize a shape, it requires th...
Automatic picture orientation recognition is of great significance in many applications such as cons...
Edge detection is the process of detecting sharp changes in image brightness in a digital image. It ...
Abstract:- This paper presents a novel direction based edge detector which not only can detect the w...
In this article, we consider techniques that provide edge strength at each pixel using two orthogona...
Edge detection in a digital image is one of the important jobs in digital image processing. Edges in...
In this paper, we propose a mechanism of orientation detection system based on edge-orientation sele...
In this paper, we propose a mechanism of orientation detection system based on edge-orientation sele...
The method involves transforming an image initially using a non-decimated multi-resolution transform...
This chapter discusses the applications of orientation analysis for microfabric studies and many dif...
The evaluation of a particular set of edge detection schemes is described. The results obtained are ...
This article proposes a new method for robust and accurate detection of the orientation and the loca...
Since edge detection is in the forefront of image processing for object detection, it is crucial to ...
Edge is defined as the boundary pixels that connect two separate regions. Edges are local changes in...
Abstract: Edge detection is in the forefront of image processing for object detection, it is crucial...
Computer vision is one of field of image processing. To be able to recognize a shape, it requires th...
Automatic picture orientation recognition is of great significance in many applications such as cons...
Edge detection is the process of detecting sharp changes in image brightness in a digital image. It ...
Abstract:- This paper presents a novel direction based edge detector which not only can detect the w...
In this article, we consider techniques that provide edge strength at each pixel using two orthogona...
Edge detection in a digital image is one of the important jobs in digital image processing. Edges in...
In this paper, we propose a mechanism of orientation detection system based on edge-orientation sele...
In this paper, we propose a mechanism of orientation detection system based on edge-orientation sele...