Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: High-level (semantic) image classification can be achieved by analysis of low-level image attributes geared for the particular classes. ,  have proposed a novel application of the known image processing and classification techniques to achieve such a high-level classification of color images. Our image classification algorithm uses three low-level image features: texture, color, and edge characteristics to classify a color image into two classes: business graphics or natural picture.  have achieved an accuracy of 96.6% on our database of 209 images using a combination of tree and neural network classifiers.
['Salil Prabhakar', 'Hui Cheng', 'John C. Handley', 'Zhigang Fan', 'Ying-Wei Lin']
I am writing a research paper on a idea Picture-graphics color image classification
[{"from": "human", "value": "I am writing a research paper on a idea Picture-graphics color image classification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: High-level (semantic) image classification can be achieved by analysis of low-level image attributes geared for the particular classes. ,  have proposed a novel application of the known image processing and classification techniques to achieve such a high-level classification of color images. Our image classification algorithm uses three low-level image features: texture, color, and edge characteristics to classify a color image into two classes: business graphics or natural picture.  have achieved an accuracy of 96.6% on our database of 209 images using a combination of tree and neural network classifiers."}]