Nowadays, the development of robots and smart tractors for the automation of sowing,
harvesting, weeding etc. is transforming agriculture. Farmers are moving from an agriculture …

Image thinning is the most essential pre-processing technique that plays major role in image
processing applications such as image analysis and pattern recognition. It is a process that …

Lane detection on roads is essential for autonomous vehicles. Most previous studies
detected the area of the road and all possible lanes built on it, whereas only the specific lane …

成像测井解释中裂缝解释是油气田开发地质研究的重要内容之一, 然而裂缝分割一直以来是成像
测井解释的难点之一. 为此, 提出一种新的融合了注意力机制的测井图像裂缝分割方法. 首先 …

In this paper we presented a novel, general purpose thinning method with emphasis on
symmetry. The proposed algorithm is of iterative character. We achieved better skeleton …

Detection and recognition of handwritten characters has been an existing field since the
early age of computing. The main purpose of character recognition is to detect characters …

In this paper, we have presented insights into various image thinning algorithms. We have
provided explanations and pseudocode for chosen thinning methods. We have presented …

In the field of computer vision, multiclass weather classification from outdoor images is a
difficult task to perform due to the diversity and lack of unique weather features. In this paper …

Classical fingerprint analysts use binary images in the minutiae recognition and extraction
processes. These obtained images do not have a sufficient quality that allows the extraction …

Images skeletonization is an important process for many applications of pattern recognition.
Currently, lot of skeletonization methods have been proposed to dealwith usual …