نتایج جستجو برای: image feature
تعداد نتایج: 577454 فیلتر نتایج به سال:
Abstract A problem with convolutional neural networks (CNNs) is that they require large datasets to obtain adequate robustness; on small datasets, are prone overfitting. Many methods have been proposed overcome this shortcoming CNNs. In cases where additional samples cannot easily be collected, a common approach generate more data points from existing using an augmentation technique. image clas...
A regular convolution layer applying a filter in the same way over known and unknown areas causes visual artifacts inpainted image. Several studies address this issue with feature re-normalization on output of convolution. However, these models use significant amount learnable parameters for [41, 48], or assume binary representation certainty an [11, 26]. We propose (layer-wise) imputation miss...
In this paper two novel steganalysis methods is presented based on co-occurrence matrix of an image. It is shown that by using features extracted from this matrix, we can differentiate between cover and stego images. These features include energy, entropy, contrast, inverse difference moment, maximum probability and correlation. We use SVM classification for separation of cover and stego imag...
In this paper, with due respect to the original data and based on the extraction of new features by smaller dimensions, a new feature reduction technique is proposed for Hyper-Spectral data classification. For each pixel of a Hyper-Spectral image, a specific rational function approximation is developed to fit its own spectral response curve (SRC) and the coefficients of the numerator and denomi...
سرطان پستان بدخیم یکی از رایج ترین عوارض زنان و یکی از عوامل اصلی مرگ و میر آنان است که در صورت تشخیص سریع و مناسب نرخ آن به شدت کاهش می یابد. مهم ترین روش در تشخیص سرطان پستان، ماموگرافی است متاسفانه ماموگرافی در تشخیص بین توده های خوش خیم و بدخیم عملکرد ضعیفی دارد. به همین دلیل بسیاری از موارد مشکوک ماموگرافی به بیوپسی می انجامد و این در حالی است که فقط 10 تا 15 درصد زنانی که تحت بیوپسی قرار ...
Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...
the quality evaluation of agricultural products is one of the key factors in promoting their quality. in this study, a method based on combined image processing technique and artificial neural network was presented. separation of touching almonds under different positions is a very important step in design of grading devices. in this study, an image processing algorithm based on extracting crit...
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