Olive-Fruit Variety Classification by Means of Image Processing and Convolutional Neural Networks
نویسندگان
چکیده
منابع مشابه
Image Classification using Convolutional Neural Networks
The specific paper I’ve chosen is titled “ImageNet Classification with Deep Convolutional Neural Networks” [1]. ImageNet is an annual competition in image recognition where researchers in the field pit their models against each other to achieve the highest classification accuracy on the same set of images. The model put forward in this paper, named AlexNet from it’s main author, beat the second...
متن کاملPlankton Image Classification using Convolutional Neural Networks
The study of plankton distribution is an important tool used for assessing the changes to marine ecosystem. Having a robust automated system for classification of plankton images plays an important role in advancing marine biology research. The images used in this study come from the SIPPER system. The challenges with SIPPER’s plankton image dataset are the high degree of similarities between d...
متن کاملCystoscopy Image Classication Using Deep Convolutional Neural Networks
In the past three decades, the use of smart methods in medical diagnostic systems has attractedthe attention of many researchers. However, no smart activity has been provided in the eld ofmedical image processing for diagnosis of bladder cancer through cystoscopy images despite the highprevalence in the world. In this paper, two well-known convolutional neural networks (CNNs) ...
متن کاملDesign of Kernels in Convolutional Neural Networks for Image Classification
Despite the effectiveness of Convolutional Neural Networks (CNNs) for image classification, our understanding of the relationship between shape of convolution kernels and learned representations is limited. In this work, we explore and employ the relationship between shape of kernels which define Receptive Fields (RFs) in CNNs for learning of feature representations and image classification. Fo...
متن کاملseparation of touching almonds and their quality classification by combining image processing and artificial neural networks techniques
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2947160