توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Unsupervised Objective Evaluation of Segmentation Algorithms for IR Images
نویسنده(ها): ، ،
اطلاعات انتشار: اولین همایش ملی کاربرد سیستم های هوشمند (محاسبات نرم) در علوم و صنایع، سال
تعداد صفحات: ۱۰
Image segmentation is an important research area in computer vision and many image segmentation methods have been proposed, therefore it is necessary to be able to evaluate the performance of image segmentation algorithms objectively. To date, the most common method for evaluating the effectiveness of a segmentation method is supervised, in which a segmented image is compared quantitatively against a manually segmented image. The evaluation methods that require user assistance are impractical in many vision applications and decrease the depth of evaluation, so unsupervised methods have been proposed. This paper have been presented a new unsupervised metric to evaluate the accuracy of IR image segmentation algorithms based on difference gray value of each pixel from mean gray value density of its region. We enumerate some suitable segmentation algorithms for IR images and then we evaluated them. Experimental results were obtained for a selection of IR images from OTCBVS Data Set and demonstrated that our metric is a proper measure for comparing IR image segmentation algorithms.<\div>

۲Application of narrow–bore tube \ dispersive liquid–liquid microextraction for extraction of BTEX from juice samples before their GC\FID determination
اطلاعات انتشار: اولین همایش ملی فناوری های نوین در شیمی و مهندسی شیمی، سال
تعداد صفحات: ۵
A new simple and effective method based on dispersive liquid–liquid microextraction (DLLME) procedure is proposed for rapid and simultaneous separation andpreconcentration of ultra trace amounts of benzene, toluene, ethylbenzene and xylene (BTEX) in juice samples. The DLLME method was performed in a narrow–bore tubecontaining aqueous sample. This simple configuration avoids the centrifugation step, which is time consumingstep in the extraction and permits a solvent with a density lighter than water to be used as extraction solvent and therefore expands the applicability of DLLME to a widerrange of solvents. The influence of extraction parameters, such as kind and volume of extraction and disperser solvents, volume of sample, temperature and pH of the solution and its ionic strength were investigated and optimized. The best efficiency of extraction acquired usingacetone and nonanol as dispersive and extraction solvents respectively. Under the optimum condition, the proposedmethod provided a wide linear range (6–700 μg.L−1) withcorrelation coefficient (R2) of 0.96, reproducibility (asRSD) better than 4.5% (n= 5) and relative recovery of 96.2– 101.0%. The limit of detection (S\N=3) and enrichment factor were in the range of 1.5–2.2 μg.L−1 and 31–173 times, respectively. At the end, the DLLME–GC–FID method was successfully applied for the determination of BTEX compounds in a few real juice samples.<\div>

۳Effects of an Intensive Resistant Training Sessions and Green Tea Supplementation on Malondialdehyde and Total Thiol in Non–Athlete Women
اطلاعات انتشار: Zahedan Journal of Research in Medical Sciences، ۲۰۱۴، سال
تعداد صفحات: ۵
نمایش نتایج ۱ تا ۳ از میان ۳ نتیجه