MATLAB is at present among the best available technique for image processing. Medical images after digitalized processed can help reducing the number of false positives and they assist medical officers in deciding between follow-up and biopsy. This paper gives a survey of image processing algorithms that have been developed for detection of masses and segmentation techniques. 35 students from u...

geological studies are basic formof operations for the exploration and development of oil and gas fields.preparation of topographical and geological maps and drawingcross section from thesemaps formspart of these operations. existing lineaments in the study area are important, and should be considered in drawing the geological sections. the evaluation of wells stability is one of the important ...

sorting and classification of agricultural products by machine vision system reduce costs and increase quality and accuracy. this research was performed to develop an algorithm and machine vision system for separating dirty and defects eggs and classifying by volume and weight. this machine installed on transport line egg in agriculture included a digital camera, computer and mechanical device ...

Image processing is used in every sphere of life such as agriculture, remote sensing, wireless, medical etc. Biomedical imaging plays a vital role in the detection of diseases. Without image processing, it is not possible to detect diseases such as cancer, tumors etc. Medical equipment such as ultrasound, MRI, CT scan machine is totally dependent on image processing algorithms. Radiologists uti...

introduction: in patients with cardiac artery disease, a myocardial perfusion scan, which is a non-invasive method, is utilized. this study is conducted to develop an advantageous software applicable to quantitative myocardial spect perfusion. material and methods: each cross-section of the left ventricle was segmented by applying a fuzzy clustering method. after obtaining the myocardial skelet...

Medical imagining is one of the major disciplines for analyzing human tissues non-invasively. Image segmentation is a sub-process in image processing that divides the given image into meaningful regions that can used for further classification and analysis. This step is challenging, as it difficult to identify precisely and extract that portion of the image having abnormal tissues for further d...

Today, a wide range of different image segmentation techniques can be found in medical imaging. Image segmentation is an important part of image processing, which often has a large impact on quantitative image analysis results. These allow the radiologist to obtain two and three-dimensional view of the internal structures of the human body, it has a large application domain for redundant clinic...