Content Based Image Recognition by color and texture features of image


  • Asst. Prof. Nishant Sanghani Computer Science & Engineering, SLTIET
  • Asst. Prof. Pooja Vasani Computer Science & Engineering, AITS
  • Asst. Prof. Ravi Khimani Computer Science & Engineering, SLTIET


Image retrieval, Object recognition, Image Classification, learning hierarchical multiple classifiers


Nowadays digital database growing rapidly in size and so to find the image we need expediently in the
spatial relationship feature and then classify the tremendous database into different sorts. There is also difficulty in
searching images on web. Content based image retrieval system allows the user to present a query image in order to
retrieve images stored in the database according to their similarity to the query image. Content based image retrieval
system refers to the retrieval of content of images rather than the standard keywords. In this system composite feature
measure, which combines the color and shape features of an image? Improved performance of retrieval by color
features that generated from efficient color quantization and considered the spatial correlation with the Histogram
matrix matching method. Here it also supplemented the color information using shape information with the improved
moment invariants. Testing of the technique on image database consisting of different images. The method of system
is the robust than the previous method under the various situations such as rotation images, translation images, noise
added images, gamma corrected images and so on.



How to Cite

Asst. Prof. Nishant Sanghani, Asst. Prof. Pooja Vasani, & Asst. Prof. Ravi Khimani. (2016). Content Based Image Recognition by color and texture features of image. International Journal of Advance Research in Engineering, Science & Technology, 3(13), -. Retrieved from