Edge detection techniques play a vital role in performing computer vision tasks, especially image processing. Nowadays the accuracy and power of computer, it has received much attention research communities. Many researchers established various fuzzy edge techniques, but still is challenging task researcher to detect true edges completely from an image/blurred image. This paper discussed recent...

As the fact that the emergence and development of crop nutrient deficiency has become more common nowadays, this research aims to find a method to segment and determine nutrient deficiency regions of crop images based on image processing technology. The experiment starts by obtaining 256 images of various crops such as oat, wheat, beet, maize, rye, potato, kidney been and sunflower with nutrien...

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

Let D be the minimum dominating set of intuitionistic fuzzy graph G. The minimum intuitionistic fuzzy cardinality of all edge dominating set of intuitionistic fuzzy graph G is known as edge domination number and it is denoted by γe(G). In this Paper, we initiate some definitions onedge dominating set concerning intuitionistic fuzzy sets. Further, we investigate some results onedge domination nu...

In image processing, the most significant challenges have been addressed due to the image denoising. Since, the segmentation of the original image components from the noisy image has high complexity. Therefore, the different image segmentation techniques were developed for effective segmentation by categorizing the noisy images. Among different methods, the image denoising including with the ed...

An edge detection algorithm for multispectral remote sensing image is proposed in this paper. According to the uncertainty of the objects in the RS image and the characters of multispectral image, we extend the one-dimensional cloud-space mapping model to the multi-dimensional model. The object-cloud will have the multi-dimensional digital characteristics to describe the fuzziness and randomici...

Fiibding human f a c e s automatically in a scene is a d i f f i c u l t yet significant problem. T h i s i s the first important step in a f u l l y automatic human f a c e recogiiition system. In this pap,er w e p ~ ~ p o ~ e a new method lo locate human f a c e s in a complex background. T h i s Jystem utilizes a hierarchical know ledge-based method and consists of three levels. T h e higher...

This paper presents a new adaptive approach for blocking and ringing artifact reduction. In order to avoid smearing of the image details, the proposed method first performs visual artifacts detection and then applies adaptive filtering to the corrupted blocks. Both visual artifacts detection and filtering are guided by an edge map which is constructed based on the local features. The fuzzy iden...