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A Survey on Image Classification Approaches and Techniques
Pooja Kamavisdar, Sonam Saluja, Sonu Agrawal
M.E(Scholar), Computer Technology and Application, SSCET, Bhilai, India M.E(Scholar), Computer Technology and Application, SSCET, Bhilai, India Senior Asst. Professor, Computer Science and Engineering, SSCET, Bhilai, India
Abstract: Object Classification is an important task within the field of computer vision. Image classification refers to the labelling of images into one of a number of predefined categories. Classification includes image sensors, image pre-processing, object detection, object segmentation, feature extraction and object classification.Many classification techniques have been developed for image classification. In this survey various classification techniques are considered; Artificial Neural Network(ANN), Decision Tree(DT), Support Vector Machine(SVM) and Fuzzy Classification
Keywords: Image Classification, Artificial Neural Network, Decision Tree, Support Vector Machine, Fuzzy Classifier.
Keywords: Image Classification, Artificial Neural Network, Decision Tree, Support Vector Machine, Fuzzy Classifier.
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This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Pooja Kamavisdar, Sonam Saluja, Sonu Agrawal, âA Survey on Image Classification Approaches and Techniques,â International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)