@article{1441934,
      recid = {1441934},
      author = {Kovalevskiĭ, V. A.,},
      title = {Image processing with cellular topology /},
      pages = {1 online resource},
      abstract = {This book explains why the finite topological space known  as abstract cell complex is important for successful image  processing and presents image processing methods based on  abstract cell complex, especially for tracing and encoding  of boundaries of homogeneous regions. Many examples are  provided in the book, some teach you how to trace and  encode boundaries in binary, indexed and colour images.  Other examples explain how to encode a boundary as a  sequence of straight-line segments which is important for  shape recognition. A new method of edge detection in two-  and three-dimensional images is suggested. Also, a  discussion problem is included in the book: A derivative is  defined as the limit of the relation of the increment of  the function to the increment of the argument as the latter  tends to zero. Is it not better to estimate derivatives as  the relation of the increment of the function to the  optimal increment of the argument instead of taking  exceedingly small increment which leads to errors? This  book addresses all above questions and provide the  answers.},
      url = {http://library.usi.edu/record/1441934},
      doi = {https://doi.org/10.1007/978-981-16-5772-6},
}