List of Articles Local binary pattern

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  1 - Human Face Detection in Color Images using Fusion of Ada Boost and LBP Feature
  Majid Emadi Mehran Emadi
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• Open Access Article
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  2 - Proposing an effective approach for Network security and multimedia documents classically using encryption and watermarking
  Reza Abbasgolizadeh Habib Izadkhah ramin meshkabadi
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  3 - Facial expression recognition based on Local Binary Patterns
  Saeede Jabbarzadeh Reyhani Saeed Meshgini
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  4 - Facial Expression Recognition Based on Structural Changes in Facial Skin
  Zeynab Shokoohi Karim Faez
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  5 - Intelligent Breast Cancer Detection in Thermography Images Using Extreme Learning Machine and Image Processing
  Hamid Reza Khodadad Homayoun Mahdavi-Nasab
  Since breast cancer is known as one of the main mortality reasons of women around the world, it would be most important to provide and develop early recognition methods for timely diagnosis, especially without using invasive imaging techniques and with fast response. Th More

  Since breast cancer is known as one of the main mortality reasons of women around the world, it would be most important to provide and develop early recognition methods for timely diagnosis, especially without using invasive imaging techniques and with fast response. Thermography with the contactless property and low cost, combined with a fast and reliable method to classify imaging results can be an ideal option to achieve this goal. This research aims at using breast thermography and a recent neural network method called extreme learning machine (ELM) as an intelligent and efficient classifier to recognize the cancer. We have also studied the development of this classifier as the kernel-based multilayer ELM. In the proposed method, at first, breast images are segmented using an automated segmentation to generate the region of interest (ROI) of the left and right breasts. Then, by extracting texture, color, and shape features, and presenting them separately or in combination with the neural network, the performance and efficiency of the method are evaluated. By experimenting with various models of local texture extraction, such as local binary pattern (LBP) and local ternary pattern (LTP), as well as using RGB and YCbCr color templates, the best results of this research in the database for mamma research with infrared image (DMR-IR) database belonged to the proposed combined LBP-Mix and the LTP texture features achieving more than 96% accuracy and 100% precision.  Manuscript profile