Nature performs complex tasks in a simple yet efficient way. Natural processes may seem
straightforward from outside but are composed of several inherently complicated sub …

Image segmentation is a fundamental problem in computer vision. Despite many years of
research, general purpose image segmentation is still a very challenging task because …

Diabetic foot ulcers represent a significant health issue. Currently, clinicians and nurses
mainly base their wound assessment on visual examination of wound size and healing …

Image segmentation is the process of subdividing a digital image into its systematized
regions or objects which is useful in image analysis. In this review paper, we carried out an …

Thousand grain weight is the main component of rice and wheat yields, and an important
indicator for variety breeding and cultivation management. Grain counting is an essential …

Imaging systems, particularly those on board satellites, provide a repetitive and consistent
view of the earth that has been used in many remote sensing applications such as urban …

The germination rate of rice grain is recognized as one of the most significant indicators of
seed quality assessment. Currently, grain germination rate is generally determined manually …

At present, designing museum art derivatives attracts more and more attention. Experts in
the field often use hand painting or image editing software to process images. This is time …

Bu makalede, genel amaçlı arama ve optimizasyon tekniklerinden sosyal tabanlı güncel
yapay zekâ optimizasyon algoritmaları, ilk kez bir bütün olarak tanıtılmış ve sosyal ağ …

This chapter introduces a novel image-segmentation scheme based on case-based
reasoning. Image segmentation is aimed at dividing an image into a number of different …