Design and Evaluation of an Expert System Based on Histogram Shape for Image Thresholding
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 740
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ECDC09_004
تاریخ نمایه سازی: 25 بهمن 1394
Abstract:
In this study, a method of thresholding is proposed that based on the histogram shape of each image, proposes the more appropriate technique from the famous and common thresholding techniques. Thresholding, which is a commonly used operation for image processing, is the selection of one of theimage pixels that determines the border for background and foreground of the image. After determining a suitable threshold, the image can be converted to a binary image and from this binary image, which has a very small size, informations can be extracted for utilization in various scientific subjects. Fromhistogram tests of images, examination of criteria extracted from the histogram shape of each image, and empirical knowledge, we designed an expert system that proposes the suitable thresholding technique for an image based on the histogram of that image. Weused modeling and matching for designing this system in such way that a model was produced from the histogram of the mostsuitable result for each thresholding technique and was stored ona knowledge base. Afterwards, a system is coded to receive the input image and after matching this image with the above models, the technique with the most model proximity to the histogram of the input image is proposed as the moreappropriate technique from the methods of thresholding. Nowadays thresholding, which is the preprocessing for each image process, is widely used. So far, many techniques and methods of thresholding have been proposed. Although all the techniques are useful, the results vary for each image. Sometimesa certain technique is more appropriate for an image than the rest of the techniques. Based on experimentation and qualitativereasoning which will be mentioned later, we concluded what techniques are more appropriate for different shapes of histograms. The application of the proposed method is tofacilitate selection of a suitable thresholding technique for an image. Furthermore, the proposed method was tested on many images and the results showed that by using this method, choosing a suitable thresholding method can be greatly automatized.
Keywords:
Authors
Iman Sharifi
M.Sc. in Computer Engineering Islamic Azad University of Bandar Abbas Bandar Abbas, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :