while weeds in sugar beet farming reduce crop yield and quality, they also lead to higher labor and material losses. in recent years, in order to eliminate or reduce the damage caused by weeds in sugar beet farming, weed control has gained importance. to this end, various studies have been conducted on robotic weed control by detecting weeds using image processing algorithms and hoeing or spray...

recently, as the result of the development in modern imaging, computerized three dimensional data processing and advanced engineering techniques, an prosthesis that match the skeletal anatomy can be accurately designed from computer aided design (cad) technique and the physical model of prosthesis or skull replica can be produced through rapid prototyping (rp), rapid tooling (rt), and computer ...

conclusion various filters are needed to improve the image quality. in this study, seven different filters were implemented and investigated on both noisy and noise-free images. background developmental dysplasia of the hip (ddh) can be detected with ultrasonography (usg) images. however, the accuracy of this method is dependent on the skill of the radiologist. radiologists measure the hip join...

objectives: the purpose of this study was to develop and test a new tool for radiographic densitometry by combining periapical films and aluminum step wedge. materials and methods: we reviewed 50 kodak e-speed intraoral films. an aluminum step wedge consisting of 16 steps was constructed. each step was 1mmx3mx10mm. the step wedge was exposed to varying exposure times, ranging from 0.05 second t...

counting the population of insect pests is a key task for planning a successful integrated pest management program. most image processing and machine vision techniques in the literature are very site-specific and cannot be easily re-usable because their performances are highly related to their ground truth data. in this article a new unsupervised image processing method is proposed which is gen...

abstract- the evaluation of leaf area and leaf nutritional value is important for crop growth modeling and estimations of its performance. the purpose of this study was to use image processing techniques to develop an economical method to ease the assessment of nutrient status and leaf area (la) of plants and to compare the outcomes of this method with linear models. leaf area and leaf chloroph...

detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

JPEG is one of the most widely used image compression method, but it causes annoying blocking artifacts at low bit-rates. Sparse representation is an efficient technique which can solve many inverse problems in image processing applications such as denoising and deblocking. In this paper, a post-processing method is proposed for reducing JPEG blocking effects via sparse representation. In this ...

This paper presents preliminary work on the segmentation of Computed Tomography data using a model-based approach. Conventional image processing of CT data is aimed at the production of simple iso-surfaces for surgical planning or diagnosis — such methods are not suitable for the automated detection of fractures, which is the ultimate application of our work. To address these deficiencies a sur...