The paper presents a hybrid fuzzy classifier for effective land use land cover mapping. It discusses a Bayesian way of incorporating spatial contextual information into the Fuzzy Noise Classifier (FNC). The FNC was chosen, as it detects noise using spectral information more efficiently than its fuzzy counterparts. The spatial information at the level of second order pixel neighbourhood was mode...

image data require huge amounts of disk space and large bandwidths for transmission. hence, imagecompression is necessary to reduce the amount of data required to represent a digital image. thereforean efficient technique for image compression is highly pushed to demand. although, lots of compressiontechniques are available, but the technique which is faster, memory efficient and simple, surely...

Image hashing allows compression, enhancement or other signal processing operations on digital images which are usually acceptable manipulations. Whereas, cryptographic hash functions are very sensitive to even single bit changes in image. Image hashing is a sum of important quality features in quantized form. In this paper, we proposed a novel image hashing algorithm for authentication which i...

nowadays, quality control of bread, especially in large scale production, requires application of novel methods. in this research, image analysis of digital images of barbary bread enriched with soy flour was carried out at two storage intervals. using imagej software, crumb features (mean cell area and void fraction) were computed for each image. fractal dimensions of bread crumb images were m...