The aim of this study is to propose an alternative and hybrid solution method for diagnosing the disease from histopathology images taken animals with paratuberculosis intact intestine. In detail, based on using both image processing deep learning better results. Reliable detection known as open problem in medical solutions need be developed. context, 520 were collected a joint Burdur Mehmet Ak...

Proper fingerprint feature extraction is crucial in fingerprint-matching algorithms. For good results, different pieces of information about a fingerprint image, such as ridge orientation and frequency, must be considered. It is often necessary to improve the quality of a fingerprint image in order for the feature extraction process to work correctly. In this paper we present a complete (fully ...

Image fusion is fundamental to several modern day image processing applications. It is often a vital preprocessing procedure to many computer vision and image processing tasks which are dependent on the acquisition of imaging data via sensors, such as infrared and visible. One such task is that of human detection. In this paper, we present improvements to our shape and heat flow-based technique...

The main objective of this paper is to discuss the preprocessing method involved in the identification of avian pox disease in poultry farm. Due to the acquisition of the hen images and lighting variations noise can affect the images. Preprocessing is the first and very important step in image processing, after preprocessing we can do analysis in that image for future work. In this paper, impul...

In this paper, the accuracy of visual tracking is enhanced by leveraging a novel measure for observation quality. We measure observation quality with mutual information, then look at the interval covered by that mutual information. As observation uncertainty the interval length is proposed. The best observation is considered the one that both maximizes the observation quality and minimizes the ...

The surface quality assurance check is an important task in industrial production of wooden parts. There are many automated systems applying different methods for preprocessing and recognition/classification of surface textures, but in the most cases these methods cannot produce very high recognition accuracy. This paper aims to propose a method for effective recognition of similar wooden surfa...