List of Articles

• Open Access Article
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  1 - Classification of two-level data with hyperrectangles parallel to the coordinate axes
  zahra moslehi palhang palhang
  20.1001.1.27170411.1394.7.26.1.8
  One of the learning methods in machine learning and pattern recognition is supervised learning. In supervised learning and in two-category problems, the available educational data labels include positive and negative categories. The goal of the supervised learning algor More

  One of the learning methods in machine learning and pattern recognition is supervised learning. In supervised learning and in two-category problems, the available educational data labels include positive and negative categories. The goal of the supervised learning algorithm is to calculate a hypothesis that can separate positive and negative data with the least amount of error. In this article, among all supervised learning algorithms, we focus on the performance of decision trees. The geometric view of the decision tree brings us closer to the concept of separability in computational geometry. Among all the available resolution algorithms related to the decision tree, we raise the problem of calculating the rectangle with the maximum difference of two colors and implement the algorithm in one, two, three and m dimensions, where m represents the number of data features. The implementation result shows that this algorithm is competitive with the well-known C4.5 algorithm. Manuscript profile
• Open Access Article
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  2 - Correcting both camera lens misalignment and image de-centering error using modified Zernik model
  
  20.1001.1.27170411.1394.7.26.2.9
  The reduction of image quality in an optical system can depend on different parameters. Some of these parameters are: lens aberration, digitization error and system assembly error. In the field of assembly error, two types of general errors are usually considered: 1) th More

  The reduction of image quality in an optical system can depend on different parameters. Some of these parameters are: lens aberration, digitization error and system assembly error. In the field of assembly error, two types of general errors are usually considered: 1) the non-orthogonality of the image curtain and the optical axis, which is often referred to as the prism error. 2) the error of the optical axis of the lens not passing through the center of the image, which is called It is called de-centering error. Among these, the current article aims to study lens aberration and correct and compensate for its aberration along with eccentricity error. For this purpose, the Seidel misdirections are rewritten in the form of modified Zernike moments based on the second type Chebyshev polynomials as separate functions on the Cartesian space. Then, the rewritten moments are modified in such a way that they also model the phase deviation function by considering the eccentricity error. Finally, the coefficients of the introduced model are classified into two classes, symmetric and asymmetric. Then these coefficients are estimated using multispectral analysis. Tri-coherence analysis was used to estimate the coefficients of symmetrical sentences, and bi-coherence analysis was used for the coefficients of asymmetric sentences. The laboratory results confirm the accuracy and efficiency of the proposed solution. Manuscript profile
• Open Access Article
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  3 - A New Algorithm for Fastintra-Frame Modes Selection in H.264/Avc Video Coding
  Mahnaz Nejadali mahdi jafari majid mohammadi
  20.1001.1.27170411.1394.7.26.3.0
  By the increasing of video communication in portable and functional devices, encoders design with low complexity and high performance are required. H.264 / AVC standard offers higher compression efficiency than previous standards. But this standard by employing several More

  By the increasing of video communication in portable and functional devices, encoders design with low complexity and high performance are required. H.264 / AVC standard offers higher compression efficiency than previous standards. But this standard by employing several powerful coding techniques, considerably increased complexity at the encoder. This paper presents a new algorithm to reduce the complexity of the H.264/AVC encoder. The proposed method uses simple directional masks, neighboring blocks modes and detection of 4×4 and/or 16×16 intra estimation modes with determination of quantization parameters for fast mode selection in Intra-Frame Modes prediction. Experimental results show that the proposed method reduces maximum 29% of the encoding time, while has little effect on visual quality and PSNR. Manuscript profile