Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A novel automatic thresholding segmentation method with local adaptive
  thresholds   A novel method for segmenting bright objects from dark background for
grayscale image is proposed. The concept of this method can be stated simply
as: to pick out the local-thinnest bands on the grayscale grade-map. It turns
out to be a threshold-based method with local adaptive thresholds, where each
local threshold is determined by requiring the average normal-direction
gradient on the object boundary to be local minimal. The method is highly
automatic and the segmentation mimics a man's natural expectation even the
object boundaries are fuzzy.

23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc